João P. Soares

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis.

José Almeida, João P. Soares, Fernando Lezama, Zita Vale, Bruno Francois

Math. Comput. Simul., 2024

2023

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

José Almeida, João P. Soares, Bruno Canizes, Iván S. Razo-Zapata, Zita Vale

Neurocomputing, July, 2023

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

Pratik Mochi, Kartik S. Pandya, Ricardo Faia, João P. Soares

IEEE Access, 2023

Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field.

Fernando Lezama, José Almeida, João P. Soares, Zita Vale

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.

Fernando Lezama, José Almeida, João P. Soares, Bruno Canizes, Zita Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Distribution Network Digital Twin: a Basic Machine Learning based Voltage Estimator.

Mohamad El Iaali, Reza Razi, Antoine Bruyere, Bruno Francois, João P. Soares

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.

Tayenne Dias de Lima, Haider Ali, João P. Soares, John F. Franco, Bruno Francois, Luce Brotcorne

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.

Fábio Castro, Bruno Canizes, João P. Soares, Zita Vale

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Probabilistic-based Optimization for PV Hosting Capacity with Confidence Interval Restrictions.

Luis Cordero, Brian Jaramillo-Leon, Jonatas Boas Leite, John F. Franco, José Almeida, Fernando Lezama, João P. Soares

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.

José Almeida, Fernando Lezama, João P. Soares, Leonardo H. Macedo, Zita Vale, Rubén Romero

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.

Tayenne Dias de Lima, Cleberton Reiz, João P. Soares, Fernando Lezama, John F. Franco, Zita Vale

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Distributed Resources Remuneration on a Medium Voltage Network with Uncertainty and Seasonal Impacts.

Fábio Castro, Bruno Canizes, João P. Soares, Marcos J. Rider, Zita Vale

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.

José Almeida, Fernando Lezama, João P. Soares, Zita Vale

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource Management.

José Almeida, Fernando Lezama, João P. Soares, Zita Vale

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Analyzing Electric Vehicle Charging Behaviour Using Advanced Clustering Tools.

Carlos Ernani da Veiga, Carlos Ramos, Juan Manuel Corchado, Piara Fernandes, João P. Soares

Proceedings of the Distributed Computing and Artificial Intelligence, 2023

A Variable Neighborhood Descent Algorithm for the Service Restoration Problem of Radial Distribution Systems.

Gabriel F. Puerta, Leonardo H. Macedo, João P. Soares, Rubén Romero

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.

Ansel Y. Rodríguez-González, Fernando Lezama, Yoan Martínez-López, Julio Madera, João P. Soares, Zita A. Vale

Appl. Soft Comput., 2022

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

Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João P. Soares

IEEE Access, 2022

Goal Programming Approach for Energy Management of Smart Building.

Zahra Foroozandeh, Sérgio Ramos, João P. Soares, Zita A. Vale

IEEE Access, 2022

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

José Almeida, João P. Soares, Fernando Lezama, Zita A. Vale

IEEE Access, 2022

Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition.

José Almeida, Fernando Lezama, João P. Soares, Zita A. Vale, Bruno Canizes

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.

Vitor Oliveira, Tiago Pinto, Ricardo Faia, Bruno Veiga, João P. Soares, Rubén Romero, Zita Vale

Proceedings of the Progress in Artificial Intelligence, 2022

Metaheuristic Optimization Solving Demand Response Contract Markets with Network Validation.

Eduardo Lacerda, Fernando Lezama, João P. Soares, Bruno Canizes, Zita A. Vale

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.

Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João P. Soares, Zita Vale

Dataset, May, 2021

Energy consumption and PV generation data of 50 prosumers and energy consumption of 40 electric vehicles - 15-minute resolution.

Ricardo Faia, João P. Soares, Mohammad Ali Fotouhi Ghazvini, John F. Franco, Zita Vale

Dataset, May, 2021

Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications.

João P. Soares, Fernando Lezama, Bruno Canizes, Zita Vale

Dataset, February, 2021

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

Fernando Lezama, João P. Soares, Bruno Canizes, Zita Vale, Rubén Romero

Dataset, January, 2021

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

Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João P. Soares, Zita A. Vale

Energy Inform., 2021

Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach.

Steffen Limmer, Fernando Lezama, João P. Soares, Zita A. Vale

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.

Cindy P. Guzmán, Nataly Bañol Arias, John Fredy Franco, João P. Soares, Zita A. Vale, Rubén Romero

IEEE Access, 2021

Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions.

Ricardo Faia, João P. Soares, Tiago Pinto, Fernando Lezama, Zita A. Vale, Juan M. Corchado

IEEE Access, 2021

A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain.

Fernando Lezama, João P. Soares, Bruno Canizes, Zita A. Vale

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.

José Almeida, João P. Soares, Fernando Lezama, Bruno Canizes, Zita A. Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Intraday Energy Resource Scheduling for Load Aggregators Considering Local Market.

José Almeida, João P. Soares, Bruno Canizes, Iván S. Razo-Zapata, Zita A. Vale

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.

João P. Soares, Fernando Lezama, Aldo Trindade, Sérgio Ramos, Bruno Canizes, Zita A. Vale

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings.

Zahra Foroozandeh, Sérgio Ramos, João P. Soares, Zita A. Vale

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Energy Resource Scheduling Optimization for Smart Power Distribution Grids - Hour-Ahead Horizon.

Bruno Canizes, João P. Soares, José Almeida, Wanderley Paris, Zita A. Vale

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Energy Storage Management System for Smart Home: an Economic Analysis.

Zahra Foroozandeh, Sérgio Ramos, João P. Soares, Bruno Canizes

Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

A Review of Unpredictable Renewable Energy Sources Through Electric Vehicles on Islands.

Juliana Chavez, João P. Soares, Zita A. Vale, Bruno Canizes, Sérgio Ramos

Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

Optimizing Energy Consumption of Household Appliances Using PSO and GWO.

Inês Tavares, José Almeida, João P. Soares, Sérgio Ramos, Zita A. Vale, Zahra Foroozandeh

Proceedings of the Progress in Artificial Intelligence, 2021

DSO Contract Market for Demand Response Using Evolutionary Computation.

Eduardo Lacerda, Fernando Lezama, João P. Soares, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators.

José Almeida, João P. Soares, Bruno Canizes, Fernando Lezama, Mohammad Ali Fotouhi Ghazvini, Zita A. Vale

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).

José Almeida, Bruno Canizes, João P. Soares, Zita Vale

Dataset, December, 2020

Safety Isolating Transformer Design using HyDE-DF algorithm.

João P. Soares, Fernando Lezama, Zita A. Vale, Stephane Brisset, Bruno François

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization.

Fernando Lezama, Ricardo Faia, João P. Soares, Pedro Faria, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Complex Large-Scale Energy Resource Management Optimization Considering Demand Flexibility.

Bruno Canizes, João P. Soares, Fernando Lezama, Zita A. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results.

Fernando Lezama, João P. Soares, Zita A. Vale, José L. Rueda, Sergio Rivera, István Elrich

Swarm Evol. Comput., 2019

Business models for flexibility of electric vehicles: evolutionary computation for a successful implementation.

Fernando Lezama, João P. Soares, Ricardo Faia, Zita A. Vale, Leonardo H. Macedo, Rubén Romero

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.

Fernando Lezama, João P. Soares, Ricardo Faia, Zita A. Vale

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management.

Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale

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.

Fernando Lezama, João P. Soares, Zita A. Vale

Energy Inform., 2018

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

João P. Soares, Tiago Pinto, Fernando Lezama, Hugo Morais

Complex., 2018

Complex Optimization and Simulation in Power Systems.

João P. Soares, Fernando Lezama, Tiago Pinto, Hugo Morais

Complex., 2018

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

Tiago M. Sousa, Fernando Lezama, João P. Soares, Sérgio Ramos, Zita A. Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach.

Ricardo Faia, Tiago Pinto, Zita A. Vale, Juan Manuel Corchado, João P. Soares, Fernando Lezama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Day ahead electricity consumption forecasting with MOGUL learning model.

Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale, João P. Soares

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Differential Evolution Aplication in Portfolio optimization for Electricity Markets.

Ricardo Faia, Fernando Lezama, João P. Soares, Zita A. Vale, Tiago Pinto, Juan Manuel Corchado

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A New Hybrid-Adaptive Differential Evolution for a Smart Grid Application Under Uncertainty.

Fernando Lezama, João P. Soares, Ricardo Faia, Tiago Pinto, Zita A. Vale

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Optimal Approach for Reliability Assessment in Radial Distribution Networks.

Bruno Canizes, João P. Soares, Zita A. Vale, Cristina Costa-Lobo

IEEE Syst. J., 2017

A residential energy management system with offline population-based optimization.

João P. Soares, Fernando Lezama, Sérgio Ramos, Zita A. Vale, Andre Lopes

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Smart City: A GECAD-BISITE Energy Management Case Study.

Bruno Canizes, Tiago Pinto, João P. Soares, Zita A. Vale, Pablo Chamoso, Daniel Santos

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.

Fernando Lezama, Luis Enrique Sucar, Enrique Munoz de Cote, João P. Soares, Zita A. Vale

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.

João P. Soares, Mohammad Ali Fotouhi Ghazvini, Marco R. Silva, Zita A. Vale

Swarm Evol. Comput., 2016

Shared Intelligence for smart grids management.

Isabel Praça, João P. Soares, Luis Gomes, Eugénia Vinagre, Zita A. Vale, Lamya Abdeljalil Belhaj

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.

João P. Soares, Nuno Borges, Maria C. Costa-Lobo, Zita A. Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Quantum Particle Swarm Optimization Applied to Distinct Remuneration Approaches in Demand Response Programs.

Fabio Pereira, João P. Soares, Pedro Faria, Zita A. Vale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Demand Response in Electric Vehicles Management Optimal Use of End-User Contracts.

João P. Soares, Zita A. Vale, Hugo Morais, Nuno Borges

Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015

Fuzzy-Probabilistic Estimation of the Electric Vehicles Energy Consumption.

Nuno Borges, João P. Soares, Zita A. Vale

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.

Pedro Faria, João P. Soares, Zita A. Vale

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.

João P. Soares, Hugo Morais, Tiago Sousa, Zita A. Vale, Pedro Faria

IEEE Trans. Smart Grid, 2013

Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources Scheduling.

Pedro Faria, João P. Soares, Zita A. Vale, Hugo Morais, Tiago Sousa

IEEE Trans. Smart Grid, 2013

Demand Response Management in Power Systems Using Particle Swarm Optimization.

Pedro Faria, Zita A. Vale, João P. Soares, Judite Ferreira

IEEE Intell. Syst., 2013

Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid.

João P. Soares, Tiago Sousa, Hugo Morais, Zita A. Vale, Bruno Canizes, António Silva

Appl. Soft Comput., 2013

Multi-objective parallel particle swarm optimization for day-ahead Vehicle-to-Grid scheduling.

João P. Soares, Zita A. Vale, Bruno Canizes, Hugo Morais

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.

Pedro Faria, Tiago Soares, Tiago Pinto, Tiago M. Sousa, João P. Soares, Zita A. Vale, Hugo Morais

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.

Bruno Canizes, João P. Soares, Hugo Morais, Zita A. Vale

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.

Tiago Sousa, Hugo Morais, Zita A. Vale, Pedro Faria, João P. Soares

IEEE Trans. Smart Grid, 2012

Increase of the delivered energy probability in DES using a fuzzy probabilistic modeling.

Bruno Canizes, João P. Soares, Zita A. Vale, Joaquim Teixeira

Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

2011

A Data-Mining-Based Methodology for Transmission Expansion Planning.

Judite Ferreira, Sérgio Ramos, Zita A. Vale, João P. Soares

IEEE Intell. Syst., 2011

An optimal scheduling problem in distribution networks considering V2G.

João P. Soares, Tiago Sousa, Hugo Morais, Zita A. Vale, Pedro Faria

Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

Particle swarm optimization applied to integrated demand response resources scheduling.

Pedro Faria, Zita A. Vale, João P. Soares, Judite Ferreira

Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

2010

Reactive power compensation by EPSO technique.

Zita A. Vale, Carlos Ramos, Marco R. Silva, João P. Soares, Bruno Canizes, Tiago Sousa, Hussein M. Khodr

Proceedings of the IEEE International Conference on Systems, 2010

Comparison between Deterministic and Meta-heuristic Methods Applied to Ancillary Services Dispatch.

Zita A. Vale, Carlos Ramos, Pedro Faria, João P. Soares, Bruno Canizes, Joaquim Teixeira, Hussein M. Khodr

Proceedings of the Trends in Applied Intelligent Systems, 2010