2025
Multi-objective model for residential energy management in context of individual self-consumption.
Math. Comput. Simul., 2025
Evolution of Building Energy Management Systems for greater sustainability through explainable artificial intelligence models.
Eng. Appl. Artif. Intell., 2025
2024
2023 Portuguese Energy Tariffs: Retail and Feed-In Tariff Data.
Dataset, June, 2024
A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles (v1.5).
Dataset, May, 2024
Costless renewable energy distribution model based on cooperative game theory for energy communities considering its members' active contributions.
Dataset, January, 2024
Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis.
Math. Comput. Simul., 2024
Comparative Analysis of Metaheuristics for Solving the Optimal Power Flow With Renewable Sources and Valve-Point Constraints.
IEEE Access, 2024
Dataset of an Energy Community's Consumption and Generation with Appliance Allocation for One Year.
Dataset, 2024
Caravels: A Decentralized Container-Based Infrastructure for Sustainable Human-Centric Intelligent Energy Communities.
Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024
Learning-Based Models for Intelligent Control Over Air Conditioning Units in a Smart Building.
Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024
Retrieval-Augmented Generation Powered by a Multi-agent System to Assisted the Operation of Industries.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, 2024
Benchmarking Large Language Models for Multi-agent Systems: A Comparative Analysis of AutoGen, CrewAI, and TaskWeaver.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, 2024
Enhanced User Interaction in Mobility Decision Support Using Explainable Artificial Intelligence.
Proceedings of the HCI International 2024 - Late Breaking Papers, 2024
Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Virtual Power Plant Optimization Service - Benchmark of Solvers.
Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024
Retrieval-Augmented Generation Based Assistant: A Smart Home Case Study.
Proceedings of the Progress in Artificial Intelligence, 2024
Intelligent Data Mining on Power Systems: Examples from Case Studies.
Proceedings of the Progress in Artificial Intelligence, 2024
Enhancing Power Forecasting Through Contextual Awareness with C-Means and K-Means Approaches.
Proceedings of the Distributed Computing and Artificial Intelligence, 2024
Decision System in a Building to Coordinate the Energy Forecasting Tasks.
Proceedings of the Distributed Computing and Artificial Intelligence, 2024
A Smart Contract-Based Peer-to-Peer Energy Trading System.
Proceedings of the Blockchain and Applications, 2024
2023
A Global Cyber-Resilient Model for Dynamic Line Rating Forecasting Based on Deep Federated Learning.
IEEE Syst. J., December, 2023
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration.
Dataset, November, 2023
Day-ahead to intraday energy scheduling operation considering extreme events using risk-based approaches.
Neurocomputing, July, 2023
Demonstration of Simulation Tools for Electricity Markets considering Power Flow Analysis.
Dataset, February, 2023
A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles.
Dataset, February, 2023
Fair Management of Vehicle-to-Grid and Demand Response Programs in Local Energy Communities.
IEEE Access, 2023
Robust State Estimation Model for Low Voltage Distribution Networks in the Presence of Multiple Gross Errors.
IEEE Access, 2023
Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
A Multi-Agent System Empowered by Federated Learning and Genetic Programming.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023
A Novel Framework for Multiagent Knowledge-Based Federated Learning Systems.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, 2023
Energy Community Integration of a Smart Home Based on an Open Source Multiagent System.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, 2023
Local Energy Market Competition Approach for Demand Response Events.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Optimizing House Energy Management with MILP Considering Shifting of Electric Appliances and Battery Storage System.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Hourly uncertainty applied to optimal expansion planning considering energy storage and seasonal network impacts.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Demand Response-based Energy Management Model for Energy Communities considering Data Privacy of the Members.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic Programming.
Proceedings of the Progress in Artificial Intelligence, 2023
Rule-Based System for Intelligent Energy Management in Buildings.
Proceedings of the Progress in Artificial Intelligence, 2023
Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Distributed Energy Resources and EV Charging Stations Expansion Planning for Grid-Connected Microgrids.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Distributed Resources Remuneration on a Medium Voltage Network with Uncertainty and Seasonal Impacts.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management Optimization.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource Management.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023
Exploring Dataset Patterns for New Demand Response Participants Classification.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023
Detection of Human Falls via Computer Vision for Elderly Care - An I3D/RNN Approach.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023
Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023
Federated Genetic Programming: A Study About the Effects of Non-IID and Federation Size.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023
FeDis: Federated Learning Framework Supported by Distributed Ledger.
Proceedings of the Blockchain and Applications, 5th International Congress, 2023
2022
Dataset of 20 energy prosumers with flexibility data, distributed generation and energy storage.
Dataset, November, 2022
Dataset of 30 energy customers with flexibility data, and distributed generation, considering residential, small commerce, large commerce, and industrial customers.
Dataset, June, 2022
Dataset of an Energy Community's Consumption and Generation with Appliance Allocation for One Year.
Dataset, June, 2022
A full-year data regarding a smart building.
Dataset, June, 2022
Demand Response Contextual Remuneration of Prosumers with Distributed Storage.
Sensors, 2022
Near real-time management of appliances, distributed generation and electric vehicles for demand response participation.
Integr. Comput. Aided Eng., 2022
Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning.
Energy Inform., 2022
Open-access tools for the modelling and simulation of electricity markets.
Energy Inform., 2022
WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective.
Appl. Soft Comput., 2022
A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings.
IEEE Access, 2022
Goal Programming Approach for Energy Management of Smart Building.
IEEE Access, 2022
Demand Response Driven by Distribution Network Voltage Limit Violation: A Genetic Algorithm Approach for Load Shifting.
IEEE Access, 2022
Robust Energy Resource Management Incorporating Risk Analysis Using Conditional Value-at-Risk.
IEEE Access, 2022
DR Participants' Actual Response Prediction Using Artificial Neural Networks.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Python-Based Ecosystem for Agent Communities Simulation.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
CPU Computation Influence on Energy Consumption Forecasting Activities of a Building.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and Efficiency.
Proceedings of the Multimedia Communications, Services and Security, 2022
Real-Time Approach for Managing Power Network by Shifting Electricity Consumers Demand.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022
Optimal Strategy of Energy Aggregators in the Energy and Regulation markets: Chance-Constrained Approach.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022
Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts.
Proceedings of the Progress in Artificial Intelligence, 2022
Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation Using Sequential Model Algorithm Configuration.
Proceedings of the Progress in Artificial Intelligence, 2022
A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Metaheuristic Optimization Solving Demand Response Contract Markets with Network Validation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Photovoltaic generation data, for 3 years, regarding the 2022-3 Competition on solar generation forecasting.
Dataset, November, 2021
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration.
Dataset, September, 2021
Photovoltaic generation and temperature for the year 2019.
Dataset, June, 2021
Joint optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources including CO2 emissions: Study data.
Dataset, May, 2021
Energy consumption and PV generation data of 50 prosumers and energy consumption of 40 electric vehicles - 15-minute resolution.
Dataset, May, 2021
Semantic Services Catalog: Demonstration of Multiagent Systems Society co-simulation.
Dataset, April, 2021
Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications.
Dataset, February, 2021
MARTINE Semantic Interoperability: Local Electricity Market Hour-Ahead Session.
Dataset, February, 2021
2021 COMPETITION ON EVOLUTIONARY COMPUTATION IN THE ENERGY DOMAIN: SMART GRID APPLICATIONS.
Dataset, January, 2021
Ensemble learning for electricity consumption forecasting in office buildings.
Neurocomputing, 2021
A hybrid intelligent classifier for anomaly detection.
Neurocomputing, 2021
Web-based platform for the management of citizen energy communities and their members.
Energy Inform., 2021
Climatization and luminosity optimization of buildings using genetic algorithm, random forest, and regression models.
Energy Inform., 2021
Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions.
Energy Inform., 2021
A methodology for energy key performance indicators analysis.
Energy Inform., 2021
Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility.
IEEE Access, 2021
Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach.
IEEE Access, 2021
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator Through a Novel Renewable Usage Index.
IEEE Access, 2021
Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions.
IEEE Access, 2021
Managing Smart City Power Network by Shifting Electricity Consumers Demand.
Proceedings of the Sustainable Smart Cities and Territories, 2021
IoT-Based Human Fall Detection Solution Using Morlet Wavelet.
Proceedings of the Sustainable Smart Cities and Territories, 2021
A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Energy Predictions for System on a Chip Solutions.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Intraday Energy Resource Scheduling for Load Aggregators Considering Local Market.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Semantic Interoperability for Multiagent Simulation and Decision Support in Power Systems.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021
Semantic Services Catalog for Multiagent Systems Society.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021
Electric Vehicles Trips and Charging Simulator Considering the User Behaviour in a Smart City.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Consumers Minimum Rate for Participation in Demand Response Events Under Uncertainty.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Energy Resource Scheduling Optimization for Smart Power Distribution Grids - Hour-Ahead Horizon.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
A Review of Unpredictable Renewable Energy Sources Through Electric Vehicles on Islands.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021
PV Generation Forecasting Model for Energy Management in Buildings.
Proceedings of the Progress in Artificial Intelligence, 2021
Optimizing Energy Consumption of Household Appliances Using PSO and GWO.
Proceedings of the Progress in Artificial Intelligence, 2021
DSO Contract Market for Demand Response Using Evolutionary Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Sparse Training Theory for Scalable and Efficient Agents.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
Single-unit and multi-unit peer-to-peer transactions in a microgrid (uGIM dataset).
Dataset, December, 2020
Energy consumption and renewable generation data of 5 aggregators - 15 minute resolution (13 bus grid).
Dataset, December, 2020
uGIM: a week with peer-to-peer transactions (02/03/2020 - 08/03/2020).
Dataset, March, 2020
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach.
Sensors, 2020
Consumption Optimization in an Office Building Considering Flexible Loads and User Comfort.
Sensors, 2020
Recommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent System.
Sensors, 2020
Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy Systems.
IEEE Access, 2020
Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading.
IEEE Access, 2020
Data Mining for Remuneration of Consumers Demand Response Participation.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020
A Two Tier Architecture for Local Energy Market Simulation and Control.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020
Energy Consumption Management in Buildings in the Context of Voluntary and Mandatory Demand Response Programs in Smart Grids.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
Scheduling of Battery Energy Storage and Demand Response Resource in Balancing Ancillary Service.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
Optimal Distribution Grid Operation Using Demand Response.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
Adaptive Learning in Multiagent Systems for Automated Energy Contacts Negotiation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
A P2P Electricity Negotiation Agent Systems in Urban Smart Grids.
Proceedings of the Distributed Computing and Artificial Intelligence, 2020
Safety Isolating Transformer Design using HyDE-DF algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Complex Large-Scale Energy Resource Management Optimization Considering Demand Flexibility.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
MARTINE: Multi-Agent based Real-Time INfrastructure for Energy.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
uGIM: week monitorization data of a microgrid with five agents (04/08/2019 - 10/08/2019).
Dataset, August, 2019
uGIM: a week with peer-to-peer transactions (03/06/2019 - 09/06/2019).
Dataset, August, 2019
uGIM: week monitorization data of a microgrid with five agents (10/04/2019 - 16/04/2019).
Dataset, August, 2019
uGIM: week monitorization data of a microgrid with five agents (10/04/19-16/04/19).
Dataset, May, 2019
Dataset of uGIM deployed in an office building.
Dataset, February, 2019
2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results.
Swarm Evol. Comput., 2019
Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings.
IEEE Syst. J., 2019
IoH: A Platform for the Intelligence of Home with a Context Awareness and Ambient Intelligence Approach.
Future Internet, 2019
Hybrid approach based on particle swarm optimization for electricity markets participation.
Energy Inform., 2019
Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019
Lightweight Architecture for IoT Devices with Context-aware Autonomous Control.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019
Collaborative Reinforcement Learning of Energy Contracts Negotiation Strategies.
Proceedings of the Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection, 2019
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Business models for flexibility of electric vehicles: evolutionary computation for a successful implementation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral Negotiations.
Proceedings of the Progress in Artificial Intelligence, 2019
Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management.
Proceedings of the Progress in Artificial Intelligence, 2019
Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings.
Proceedings of the Progress in Artificial Intelligence, 2019
Fair Remuneration of Energy Consumption Flexibility Using Shapley Value.
Proceedings of the Progress in Artificial Intelligence, 2019
Semantic Web Services for Multi-Agent Systems Interoperability.
Proceedings of the Progress in Artificial Intelligence, 2019
Energy Consumption Forecasting Using Ensemble Learning Algorithms.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019
Study of Multi-Tariff Influence on the Distributed Generation Remuneration.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019
Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
ALBidS: A Decision Support System for Strategic Bidding in Electricity Markets.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Practical Application of a Multi-Agent Systems Society for Energy Management and Control.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
An Intelligent Smart Plug with Shared Knowledge Capabilities.
Sensors, 2018
A context-based building security alarm through power and sensors analysis.
Energy Inform., 2018
Iberian electricity market ontology to enable smart grid market simulation.
Energy Inform., 2018
A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids.
Energy Inform., 2018
Office building participation in demand response programs supported by intelligent lighting management.
Energy Inform., 2018
Application of an optimization-based curtailment service provider in real-time simulation.
Energy Inform., 2018
Strategic Particle Swarm Inertia Selection for Electricity Markets Participation Portfolio Optimization.
Appl. Artif. Intell., 2018
An Agent-Based IoT System for Intelligent Energy Monitoring in Buildings.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018
A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Discussing Different Clustering Methods for the Aggregation of Demand Response and Distributed Generation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Distributed Generation with Improved Remuneration.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Consumption Optimization of an Office Building using Different Approaches.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Day-ahead forecasting approach for energy consumption of an office building using support vector machines.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Assessment of Distributed Generation Units Remuneration Using Different Clustering Methods for Aggregation.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Clustering-based negotiation profiles definition for local energy transactions.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Financial Benefit Analysis of an Electric Water Heater with Direct Load Control in Demand Response.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018
Optimizing Opponents Selection in Bilateral Contracts Negotiation with Particle Swarm.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018
Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018
Multi-agent Systems Society for Power and Energy Systems Simulation.
Proceedings of the Multi-Agent-Based Simulation XIX - 19th International Workshop, 2018
optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
Electric Water Heater Modelling for Direct Load Control Demand Response.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
SCADA Office Building Implementation in the Context of an Aggregator.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
Day ahead electricity consumption forecasting with MOGUL learning model.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Differential Evolution Aplication in Portfolio optimization for Electricity Markets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Clustering Support for an Aggregator in a Smart Grid Context.
Proceedings of the Hybrid Intelligent Systems, 2018
Economic Impact of an Optimization-Based SCADA Model for an Office Building.
Proceedings of the Hybrid Intelligent Systems, 2018
Electricity Price Forecast for Futures Contracts with Artificial Neural Network and Spearman Data Correlation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018
Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemes.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018
UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018
A New Hybrid-Adaptive Differential Evolution for a Smart Grid Application Under Uncertainty.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Optimal Approach for Reliability Assessment in Radial Distribution Networks.
IEEE Syst. J., 2017
Clustering optimization of distributed energy resources in support of an aggregator.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A residential energy management system with offline population-based optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Bilateral contract prices estimation using a Q-leaming based approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Energy consumption forecasting using neuro-fuzzy inference systems: Thales TRT building case study.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Lighting consumption optimization using fish school search algorithm.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Hybrid particle swarm optimization of electricity market participation portfolio.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Big Data in Efficient Smart Grids Management.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Tools Control Center to Enable the Joint Simulation of Multi-agent Systems.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Photovoltaic Inverter Scheduler with the Support of Storage Unit to Minimize Electricity Bill.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Gravitational Search Algorithm Applied for Residential Demand Response Using Real-Time Pricing.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Real-Time Emulation and Simulation System of Asynchronous Motor Consumption.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Ontologies for the Interoperability of Heterogeneous Multi-agent Systems in the Scope of Power and Energy Systems.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Remuneration and Tariffs in the Context of Virtual Power Players.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
µGIM - Microgrids Intelligent Management System Based on a Multi-agent Approach and the Active Participation on Demand Response.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Decision Support for Agents' Participation in Electricity Markets.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Initial Solution Heuristic for Portfolio Optimization of Electricity Markets Participation.
Proceedings of the Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems, 2017
Decision Support for Smart Grid Planning and Operation Considering Reliability and All Available Resources.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Smart City: A GECAD-BISITE Energy Management Case Study.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Real-Time Implementation of Demand Response Programs Based on Open ADR Technology.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Computational Platform for Household Simulation and Emulation to Test and Validate Energy Management Methodologies.
Proceedings of the Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection, 2017
Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets.
Proceedings of the Ambient Intelligence - Software and Applications, 2017
Energy flexibility assessment of a multi agent-based smart home energy system.
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017
Automatic Selection of Optimization Algorithms for Energy Resource Scheduling using a Case-Based Reasoning System.
Proceedings of ICCBR 2017 Workshops (CAW, 2017
Differential evolution strategies for large-scale energy resource management in smart grids.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM.
Proceedings of the Progress in Artificial Intelligence, 2017
EnAPlug - An Environmental Awareness Plug to Test Energy Management Solutions for Households.
Proceedings of the Progress in Artificial Intelligence, 2017
Data Mining for Prosumers Aggregation considering the Self-Generation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017
Smart Grids Data Management: A Case for Cassandra.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017
Energy Analyzer Emulation for Energy Management Simulators.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017
Statistics-Based Approach to Enable Consumer Profile Definition for Demand Response Programs.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017
Organization-based Multi-Agent structure of the Smart Home Electricity System.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Adaptive Portfolio Optimization for Multiple Electricity Markets Participation.
IEEE Trans. Neural Networks Learn. Syst., 2016
Aggregation and Remuneration of Electricity Consumers and Producers for the Definition of Demand-Response Programs.
IEEE Trans. Ind. Informatics, 2016
Multi-dimensional signaling method for population-based metaheuristics: Solving the large-scale scheduling problem in smart grids.
Swarm Evol. Comput., 2016
Support Vector Machines for decision support in electricity markets' strategic bidding.
Neurocomputing, 2016
Evaluation of different initial solution algorithms to be used in the heuristics optimization to solve the energy resource scheduling in smart grids.
Appl. Soft Comput., 2016
Intelligent energy forecasting based on the correlation between solar radiation and consumption patterns.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Aggregation validation approach for the management of resources in a smart grid.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Energy resource aggregator managing active consumer demand programs.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Shared Intelligence for smart grids management.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Use of context-aware Social Computing to improve energy efficiency in public buildings.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Intelligent energy management using CBR: Brazilian residential consumption scenario.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
GA optimization technique for portfolio optimization of electricity market participation.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Electricity Markets Ontology to Support MASCEM's Simulations.
Proceedings of the Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection, 2016
Demonstration of ALBidS: Adaptive Learning Strategic Bidding System.
Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016
Network Operator Agent: Endowing MASCEM Simulator with Technical Validation.
Proceedings of the Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection, 2016
Dynamic Energy Management Method with Demand Response Interaction Applied in an Office Building.
Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016
Optimization of Electricity Markets Participation with Simulated Annealing.
Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016
Customized Normalization Method to Enhance the Clustering Process of Consumption Profiles.
Proceedings of the Ambient Intelligence - Software and Applications, 2016
House management system with real and virtual resources: Energy efficiency in residential microgrid.
Proceedings of the 2016 Global Information Infrastructure and Networking Symposium, 2016
Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature.
Proceedings of the 2016 Global Information Infrastructure and Networking Symposium, 2016
Electrical Energy Consumption Forecast Using Support Vector Machines.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016
Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016
Portfolio Optimization for Electricity Market Participation with NPSO-LRS.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016
Application of a Home Energy Management System for Incentive-Based Demand Response Program Implementation.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016
2015
Coalition of distributed generation units to Virtual Power Players - a game theory approach.
Integr. Comput. Aided Eng., 2015
Six thinking hats: A novel metalearner for intelligent decision support in electricity markets.
Decis. Support Syst., 2015
Electrical Energy Consumption Forecast Using External Facility Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
VPP Energy Resources Management Considering Emissions: The Case of Northern Portugal 2020 to 2050.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Quantum Particle Swarm Optimization Applied to Distinct Remuneration Approaches in Demand Response Programs.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Demand Response Shifting Management Applied to Distributed Generation and Pumping.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015
Agent-Based Smart Grid Market Simulation with Connection to Real Infrastructures.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection, 2015
Dynamic Fuzzy Estimation of Contracts Historic Information Using an Automatic Clustering Methodology.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection, 2015
Demand Response in Electric Vehicles Management Optimal Use of End-User Contracts.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015
Fuzzy-Probabilistic Estimation of the Electric Vehicles Energy Consumption.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015
Use of Web Based Meters to Improve Energy Efficiency and Power Quality in Buildings.
Proceedings of the Technological Innovation for Cloud-Based Engineering Systems, 2015
Data Mining Approach for Decision Support in Real Data Based Smart Grid Scenario.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015
Pan-European Electricity Market Simulation Considering the European Power Network Capacities.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015
Portfolio Optimization for Electricity Market Participation with Particle Swarm.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015
Solar Intensity Characterization Using Data-Mining to Support Solar Forecasting.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015
2014
Adaptive learning in agents behaviour: A framework for electricity markets simulation.
Integr. Comput. Aided Eng., 2014
Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids.
IEEE Intell. Syst., 2014
Particle Swarm Optimization of Electricity Market Negotiating Players Portfolio.
Proceedings of the Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014
Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines.
Proceedings of the Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014
Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations.
Proceedings of the Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014
Elspot: Nord Pool Spot Integration in MASCEM Electricity Market Simulator.
Proceedings of the Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014
Analysis of Power Quality Disturbances in Industry in the Centre Region of Portugal.
Proceedings of the Technological Innovation for Collective Awareness Systems, 2014
Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets.
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014
Distributed intelligent management of microgrids using a multi-agent simulation platform.
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014
Realistic Multi-agent Simulation of Competitive Electricity Markets.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014
Multi-agent Simulation of Bilateral Contracting in Competitive Electricity Markets.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014
Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision Support.
Proceedings of the Distributed Computing and Artificial Intelligence, 2014
Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets.
Proceedings of the Distributed Computing and Artificial Intelligence, 2014
Short-term wind speed forecasting using Support Vector Machines.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014
A new heuristic providing an effective initial solution for a simulated annealing approach to energy resource scheduling in smart grids.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014
A learning algorithm and system approach to address exceptional events in domestic consumption management.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014
Quantum-based particle swarm optimization application to studies of aggregated consumption shifting and generation scheduling in smart grids.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014
2013
Day-Ahead Resource Scheduling Including Demand Response for Electric Vehicles.
IEEE Trans. Smart Grid, 2013
Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources Scheduling.
IEEE Trans. Smart Grid, 2013
Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysis.
Integr. Comput. Aided Eng., 2013
Demand Response Management in Power Systems Using Particle Swarm Optimization.
IEEE Intell. Syst., 2013
Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid.
Appl. Soft Comput., 2013
Demonstration of the Multi-Agent Simulator of Competitive Electricity Markets.
Proceedings of the Advances on Practical Applications of Agents and Multi-Agent Systems, 2013
Load control timescales simulation in a Multi-Agent Smart Grid Platform.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013
Real-time simulation of energy management in a domestic consumer.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013
Demand response programs definition using demand price elasticity to define consumers aggregation for an improved remuneration structure.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013
Scenarios generation for multi-agent simulation of electricity markets based on intelligent data analysis.
Proceedings of the 2013 IEEE Symposium on Intelligent Agents, 2013
Adapting meeting tools to agent decision.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013
Metalearner Based on Dynamic Neural Network for Strategic Bidding in Electricity Markets.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013
Electricity Markets Portfolio Optimization Using a Particle Swarm Approach.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013
Upper Ontology for Multi-Agent Energy Systems' Applications.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013
Adaptive Learning in Games: Defining Profiles of Competitor Players.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013
Multi-objective parallel particle swarm optimization for day-ahead Vehicle-to-Grid scheduling.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013
Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approach.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013
Modified discrete PSO to increase the delivered energy probability in distribution energy systems.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013
2012
Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach.
IEEE Trans. Smart Grid, 2012
Intelligent supervisory control system for home devices using a cyber physical approach.
Integr. Comput. Aided Eng., 2012
Multilevel Negotiation in Smart Grids for VPP Management of Distributed Resources.
IEEE Intell. Syst., 2012
A study on dynamic state information (DSI) around users for safe urban life.
Comput. Math. Appl., 2012
Adaptive Learning in Multiagent Systems: A Forecasting Methodology Based on Error Analysis.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012
Metalearning in ALBidS: A Strategic Bidding System for Electricity Markets.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012
Intelligent electric vehicle heuristic for Energy Resource Management using Simulated Annealing.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012
A regulatory framework for short-term stochastic maintenance outage scheduling in smart grids.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012
Combined heat and power and consumption optimization in a SCADA-based system.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012
Energy and reserve provision dispatch considering distributed generation and demand response.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012
Increase of the delivered energy probability in DES using a fuzzy probabilistic modeling.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012
Secure Contents Design and Implement of Smart Home Management System in OISCS.
Proceedings of the Future Generation Information Technology - 4th International Conference, 2012
Multi-agent Simulation of Continental, Regional, and Micro Electricity Markets.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012
Remuneration and Tariffs in the Context of Virtual Power Players.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012
Adaptive Tool for Automatic Data Collection of Real Electricity Markets.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012
2011
MASCEM: Electricity Markets Simulation with Strategic Agents.
IEEE Intell. Syst., 2011
A Data-Mining-Based Methodology for Transmission Expansion Planning.
IEEE Intell. Syst., 2011
Bid Definition Method for Electricity Markets Based on an Adaptive Multiagent System.
Proceedings of the Advances on Practical Applications of Agents and Multiagent Systems, 2011
Using an Ambient Intelligent Architecture for Developing an Intelligent Tutoring System for Training Operators of Power System Control Centres.
Proceedings of the Ambient Intelligence - Software and Applications, 2011
Contexts-Management Strategy in Considering the Security in Urban Computing Based on Urban Design.
Proceedings of the Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2011
Multiagent system for adaptive strategy formulation in electricity markets.
Proceedings of the 2011 IEEE Symposium on Intelligent Agent, 2011
Strategic Bidding Methodology for Electricity Markets Using Adaptive Learning.
Proceedings of the Modern Approaches in Applied Intelligence, 2011
Cyber-Physical Intelligence in the Context of Power Systems.
Proceedings of the Future Generation Information Technology, 2011
An optimal scheduling problem in distribution networks considering V2G.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011
Genetic algorithm methodology applied to intelligent house control.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011
Particle swarm optimization applied to integrated demand response resources scheduling.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011
A Study on Context Services Model with Location Privacy.
Proceedings of the Availability, Reliability and Security for Business, Enterprise and Health Information Systems, 2011
2010
An Integrated System to Support Electricity Tariff Contract Definition.
Proceedings of the Data Mining for Business Applications, 2010
Reactive power compensation by EPSO technique.
Proceedings of the IEEE International Conference on Systems, 2010
Intelligent SCADA for Load control.
Proceedings of the IEEE International Conference on Systems, 2010
Demsi - A demand response simulator in the context of intensive use of distributed generation.
Proceedings of the IEEE International Conference on Systems, 2010
Comparison between Deterministic and Meta-heuristic Methods Applied to Ancillary Services Dispatch.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Intelligent Training in Control Centres Based on an Ambient Intelligence Paradigm.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Optimal Intelligent Supervisory Control System in Cyber-Physical Intelligence.
Proceedings of the Security Technology, Disaster Recovery and Business Continuity, 2010
2009
Training Control Centers' Operators in Incident Diagnosis and Power Restoration Using Intelligent Tutoring Systems.
IEEE Trans. Learn. Technol., 2009
An Intelligent Tutoring System for Operators' Training in Power System Control Centres.
Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009
Combining Artificial Intelligence Techniques for the Training of Power System Control Centre Operators.
Proceedings of the Agents and Artificial Intelligence - International Conference, 2009
2008
Intelligent Power System.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008
Agent-based simulation of electronic marketplaces with decision support.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
A multi-agent system for the support of producer coalition formation in electricity markets.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
2007
Decision Support System with Incomplete and Domain incoherent Information Management.
Control. Intell. Syst., 2007
Virtual Power Producers Integration Into Mascem.
Proceedings of the Establishing The Foundation of Collaborative Networks, 2007
The verification of temporal knowledge based systems - a case-study on power-systems.
Proceedings of the ICINCO 2007, 2007
Learning Business Strategies for Competitive Electronic Marketplaces.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007
2006
Decision Making in an Agent-based Marketplace.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006
2003
Mascem: A Multiagent System That Simulates Competitive Electricity Markets.
IEEE Intell. Syst., 2003
A Comparative Analysis of Clustering Algorithms Applied to Load Profiling.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003
A New Agent-based Framework for the Simulation of Electricity Markets.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003
An Agent-Based Simulator for Electricity Markets: Seller, Buyer, and Trader Players.
Proceedings of the Holonic and Multi-Agent Systems for Manufacturing, 2003
Reduce and Assign: A Constraint Logic Programming and Local Search Integration Framework to Solve Combinatorial Search Problems.
Proceedings of the Principles and Practice of Constraint Programming, 2003
2002
On the Verification of an Expert System: Practical Issues.
Proceedings of the Developments in Applied Artificial Intelligence, 2002
2001
Inspectability and User Controlled Revision on Long Term User Models.
Proceedings of the User Modeling 2001, 8th International Conference, 2001
User Model Issues in Wide Scope I.T.S.
Proceedings of the ICEIS 2001, 2001
2000
Power distribution automation and object-oriented agents.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000
An ITS for control centre operators training: issues concerning knowledge representation and training scenarios generation.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000
Training Scenarios Generation Tools for an ITS to Control Center Operators.
Proceedings of the Intelligent Tutoring Systems, 5th International Conference, 2000
Practical Aspects Concerning the Development of an ITS for Control Centre Operators Training.
Proceedings of the Artificial Intelligence and Soft Computing, July 24-26, 2000, Banff, 2000
1999
Verification of Knowledge Based-Systems for Power System Control Centres.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999
Enabling Client-Server Explanation Facilities in a Real-Time Expert-System.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999
VERITAS - An Application for Knowledge Verification.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999
SPARSE-IT: An Intelligent Tutor for Power System Control Center Operator Training.
Proceedings of the 1st International Conference on Enterprise Information Systems, 1999
An Expert System for Intelligent Information Processing in Portuguese Power System Control Centers.
Proceedings of the 1st International Conference on Enterprise Information Systems, 1999
VERITAS - A Verification Tool for Real-Time Applications in Power System Control Centers.
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999
Validation and Verification of Knowlege-Based Systems for Power Systzem Control Centres.
Proceedings of the Validation and Verification of Knowledge Based Systems, 1999
1998
Complexity of Precedence Graphs for Assembly and Task Planning.
Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998
Knowledge-Based Systems for power system control centers: validation and verification?
Proceedings of the 1998 European Workshop on Validation and Verification of Knowledge-Based Systems, 1998
1997
Sparse: An Intelligent Alarm Processor and Operator Assistant.
IEEE Expert, 1997
1995
Temporal Reasoning in Intelligent Applications for Power System Control Centers.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995
Development and Integration of AI Applications in Control Centers: The Sparse Experience.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995
Scheduling Manufacturing Tasks Considering Due Dates: A New Method Based on Behaviours and Agendas.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995
1992
An Expert System Appraoch for Power System Diagnosis.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1992