Ricardo Faia
Ricardo Faia
PhD Student at University of Salamanca and Researcher at Gecad - Institute of Engineering, IPP
Verified email at isep.ipp.pt
Cited by
Cited by
Adaptive portfolio optimization for multiple electricity markets participation
T Pinto, H Morais, TM Sousa, T Sousa, Z Vale, I Praça, R Faia, EJS Pires
IEEE Transactions on Neural Networks and Learning Systems 27 (8), 1720-1733, 2015
Dynamic Fuzzy Clustering Method for Decision Support in Electricity Markets Negotiation. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal (ISSN …
R Faia, T Pinto, Z Vale
Salamanca 5 (1), 2016
Case based reasoning with expert system and swarm intelligence to determine energy reduction in buildings energy management
R Faia, T Pinto, O Abrishambaf, F Fernandes, Z Vale, JM Corchado
Energy and Buildings 155, 269-281, 2017
Multi-agent-based CBR recommender system for intelligent energy management in buildings
T Pinto, R Faia, M Navarro-Caceres, G Santos, JM Corchado, Z Vale
IEEE Systems Journal 13 (1), 1084-1095, 2018
Demand response optimization using particle swarm algorithm considering Optimum battery energy storage schedule in a residential house
R Faia, P Faria, Z Vale, J Spinola
Energies 12 (9), 1645, 2019
Decision support for small players negotiations under a transactive energy framework
T Pinto, R Faia, MAF Ghazvini, J Soares, JM Corchado, Z Vale
IEEE Transactions on Power Systems 34 (5), 4015-4023, 2018
A new hybrid-adaptive differential evolution for a smart grid application under uncertainty
F Lezama, J Soares, R Faia, T Pinto, Z Vale
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
GA optimization technique for portfolio optimization of electricity market participation
R Faia, T Pinto, Z Vale
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016
Dynamic fuzzy estimation of contracts historic information using an automatic clustering methodology
R Faia, T Pinto, Z Vale
International Conference on Practical Applications of Agents and Multi-Agent …, 2015
Hybrid-adaptive differential evolution with decay function (hyde-df) applied to the 100-digit challenge competition on single objective numerical optimization
F Lezama, J Soares, R Faia, Z Vale
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
An ad-hoc initial solution heuristic for metaheuristic optimization of energy market participation portfolios
R Faia, T Pinto, Z Vale, JM Corchado
Energies 10 (7), 883, 2017
Automatic Selection of Optimization Algorithms for Energy Resource Scheduling using a Case-Based Reasoning System.
R Faia, T Pinto, T Sousa, ZA Vale, JM Corchado
ICCBR (Workshops), 117-126, 2017
Demand Response of Residential Houses Equipped with PV-Battery Systems: An Application Study Using Evolutionary Algorithms
F Lezama, R Faia, P Faria, Z Vale
Energies 13 (10), 2466, 2020
Strategic particle swarm inertia selection for electricity markets participation portfolio optimization
R Faia, T Pinto, Z Vale, JM Corchado
Applied Artificial Intelligence 32 (7-8), 745-767, 2018
Clustering optimization of distributed energy resources in support of an aggregator
J Spínola, R Faia, P Faria, Z Vale
2017 IEEE symposium series on computational intelligence (SSCI), 1-6, 2017
An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles
R Faia, J Soares, Z Vale, JM Corchado
Electronics 10 (2), 129, 2021
A Local Electricity Market Model for DSO Flexibility Trading
R Faia, T Pinto, Z Vale, JM Corchado
2019 16th International Conference on the European Energy Market (EEM), 1-5, 2019
Case-based reasoning using expert systems to determine electricity reduction in residential buildings
R Faia, T Pinto, Z Vale, JM Corchado
2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018
Optimization of electricity markets participation with simulated annealing
R Faia, T Pinto, Z Vale
International Conference on Practical Applications of Agents and Multi-Agent …, 2016
Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions
R Faia, J Soares, T Pinto, F Lezama, Z Vale, JM Corchado
IEEE Access 9, 12420-12430, 2021
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