João P. Soares

Orcid: 0000-0002-4172-4502

According to our database1, João P. Soares authored at least 83 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis.
Math. Comput. Simul., 2024

2023
Day-ahead to intraday energy scheduling operation considering extreme events using risk-based approaches.
Neurocomputing, July, 2023

Prosumer Segmentation Strategies for Local Electricity Market Partaking by Monetary Reward.
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

Distribution Network Digital Twin: a Basic Machine Learning based Voltage Estimator.
Proceedings of the IEEE International Conference on Communications, 2023

Optimal Planning of Autonomous Electric Vehicles Charging Stations with Photovoltaic Generations and Energy Storage Systems in Electric Distribution Systems.
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

Probabilistic-based Optimization for PV Hosting Capacity with Confidence Interval Restrictions.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 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

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

Analyzing Electric Vehicle Charging Behaviour Using Advanced Clustering Tools.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

A Variable Neighborhood Descent Algorithm for the Service Restoration Problem of Radial Distribution Systems.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

2022
WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective.
Appl. Soft Comput., 2022

A Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resources.
IEEE Access, 2022

Goal Programming Approach for Energy Management of Smart Building.
IEEE Access, 2022

Robust Energy Resource Management Incorporating Risk Analysis Using Conditional Value-at-Risk.
IEEE Access, 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

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

Metaheuristic Optimization Solving Demand Response Contract Markets with Network Validation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

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

Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications.
Dataset, February, 2021

2021 COMPETITION ON EVOLUTIONARY COMPUTATION IN THE ENERGY DOMAIN: SMART GRID APPLICATIONS.
Dataset, January, 2021

Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions.
Energy Inform., 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

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

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

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

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

Energy Storage Management System for Smart Home: an Economic Analysis.
Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

A Review of Unpredictable Renewable Energy Sources Through Electric Vehicles on Islands.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 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

2020
Energy consumption and renewable generation data of 5 aggregators - 15 minute resolution (13 bus grid).
Dataset, December, 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

2019
2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results.
Swarm Evol. Comput., 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

Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids.
Energy Inform., 2018

Survey on Complex Optimization and Simulation for the New Power Systems Paradigm.
Complex., 2018

Complex Optimization and Simulation in Power Systems.
Complex., 2018

A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids.
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

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

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

A residential energy management system with offline population-based optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Smart City: A GECAD-BISITE Energy Management Case Study.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Differential evolution strategies for large-scale energy resource management in smart grids.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Multi-dimensional signaling method for population-based metaheuristics: Solving the large-scale scheduling problem in smart grids.
Swarm Evol. Comput., 2016

Shared Intelligence for smart grids management.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

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 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

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

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

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

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

2011
A Data-Mining-Based Methodology for Transmission Expansion Planning.
IEEE Intell. Syst., 2011

An optimal scheduling problem in distribution networks considering V2G.
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

2010
Reactive power compensation by EPSO technique.
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


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