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Viewing Publication 1 - 89 from 89

2023

A Multi-Agent System Empowered by Federated Learning and Genetic ProgrammingLuis Gomes 0001, Bruno Ribeiro 0008, Fernando Lezama, Zita Vale. siu 2023: 1-4 [doi]

Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource ManagementJosé Almeida 0002, Fernando Lezama, João P. Soares, Zita Vale. aquileia 2024: 30-43 [doi]

Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management OptimizationJosé Almeida 0002, Fernando Lezama, João P. Soares, Zita Vale. aquileia 2024: 44-59 [doi]

Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy DomainJosé Almeida 0002, Fernando Lezama, João P. Soares, Leonardo H. Macedo, Zita Vale, Rubén Romero. gecco 2023: 1668-1675 [doi]

Day-ahead to intraday energy scheduling operation considering extreme events using risk-based approachesJosé Almeida 0002, João P. Soares, Bruno Canizes, Iván S. Razo-Zapata, Zita Vale. ijon, 543:126229, July 2023. [doi]

A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic ProgrammingBruno Ribeiro 0008, Luis Gomes 0001, Zita Vale. epia 2023: 195-206 [doi]

Energy Community Integration of a Smart Home Based on an Open Source Multiagent SystemBruno Ribeiro 0008, Ricardo Faia, Luis Gomes 0001, Zita Vale. paams 2023: 415-421 [doi]

A Novel Framework for Multiagent Knowledge-Based Federated Learning SystemsBruno Ribeiro 0008, Luis Gomes 0001, Rafael Barbarroxa, Zita Vale. paams 2023: 296-306 [doi]

Federated Genetic Programming: A Study About the Effects of Non-IID and Federation SizeBruno Ribeiro 0008, Luis Gomes 0001, Ricardo Faia, Zita Vale. dcai 2023: 193-202 [doi]

FeDis: Federated Learning Framework Supported by Distributed LedgerRafael Barbarroxa, João Silva, Luis Gomes 0001, Fernando Lezama, Bruno Ribeiro 0008, Zita Vale. blockchain 2023: 32-41 [doi]

Demand Response-based Energy Management Model for Energy Communities considering Data Privacy of the MembersRúben Barreto, Luis Gomes 0001, Pedro Faria, Zita Vale. isgteurope 2023: 1-5 [doi]

Robust State Estimation Model for Low Voltage Distribution Networks in the Presence of Multiple Gross ErrorsYassine Boukili, Motaz M. Ayiad, Hamed Moayyed, A. Pedro Aguiar, Zita Vale. access, 11:42403-42415, 2023. [doi]

Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market ParticipationJoão Carvalho, Tiago Pinto, Juan M. Home-Ortiz, Brigida Teixeira, Zita Vale, Rubén Romero. dcai 2023: 245-255 [doi]

Hourly uncertainty applied to optimal expansion planning considering energy storage and seasonal network impactsFábio Castro, Bruno Canizes, João P. Soares, Zita Vale. isgteurope 2023: 1-5 [doi]

Distributed Resources Remuneration on a Medium Voltage Network with Uncertainty and Seasonal ImpactsFábio Castro, Bruno Canizes, João P. Soares, Marcos J. Rider, Zita Vale. aquileia 2024: 158-174 [doi]

Distributed Energy Resources and EV Charging Stations Expansion Planning for Grid-Connected MicrogridsTayenne Dias de Lima, Cleberton Reiz, João P. Soares, Fernando Lezama, John F. Franco, Zita Vale. aquileia 2024: 33-48 [doi]

Optimizing House Energy Management with MILP Considering Shifting of Electric Appliances and Battery Storage SystemRicardo Faia, Pedro Faria, Zita Vale. isgteurope 2023: 1-5 [doi]

Rule-Based System for Intelligent Energy Management in BuildingsAria Jozi, Tiago Pinto, Luis Gomes 0001, Goreti Marreiros, Zita Vale. epia 2023: 169-181 [doi]

A Global Cyber-Resilient Model for Dynamic Line Rating Forecasting Based on Deep Federated LearningHamed Moayyed, Arash Moradzadeh, Amin Mansour Saatloo, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Zita Vale. sj, 17(4):6390-6400, December 2023. [doi]

Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity ConsumptionDaniel Ramos, Pedro Faria, Zita Vale. isgteurope 2023: 1-5 [doi]

Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office BuildingDaniel Ramos, Pedro Faria, Luis Gomes 0001, Zita Vale. aquileia 2024: 83-91 [doi]

Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity ConsumptionDaniel Ramos, Pedro Faria, Zita Vale. aquileia 2024: 51-62 [doi]

Local Energy Market Competition Approach for Demand Response EventsCátia Silva, Pedro Faria, Zita Vale. isgteurope 2023: 1-5 [doi]

Exploring Dataset Patterns for New Demand Response Participants ClassificationCátia Silva, Pedro Campos 0001, Pedro Faria, Zita Vale. dcai 2023: 306-317 [doi]

Fair Management of Vehicle-to-Grid and Demand Response Programs in Local Energy CommunitiesCátia Silva, Pedro Faria, Rúben Barreto, Zita Vale. access, 11:79851-79860, 2023. [doi]

Study of Forecasting Methods' Impact in Wholesale Electricity Market ParticipationBrigida Teixeira, Ricardo Faia, Tiago Pinto, Zita Vale. dcai 2023: 267-276 [doi]

2022

Open-access tools for the modelling and simulation of electricity marketsRui Carvalho, Gabriel Santos, Zita Vale. eninf, 5, 2022. [doi]

Optimal Strategy of Energy Aggregators in the Energy and Regulation markets: Chance-Constrained ApproachMeysam Khojasteh, Pedro Faria, Fernando Lezama, Zita Vale. isgteurope 2022: 1-5 [doi]

Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation Using Sequential Model Algorithm ConfigurationVitor Oliveira, Tiago Pinto, Ricardo Faia, Bruno Veiga, Joao Soares, Rubén Romero, Zita Vale. epia 2022: 245-257 [doi]

Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learningHelder Pereira, Luis Gomes 0001, Zita Vale. eninf, 5, 2022. [doi]

Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and EfficiencyTiago Pinto, Tânia Rocha, Arsénio Reis, Zita Vale. mcss2 2022: 144-152 [doi]

Python-Based Ecosystem for Agent Communities SimulationBruno Ribeiro, Helder Pereira, Luis Gomes 0001, Zita Vale. softcomp 2023: 62-71 [doi]

Real-Time Approach for Managing Power Network by Shifting Electricity Consumers DemandCátia Silva, Pedro Faria, Bruno Canizes, Zita Vale. isgteurope 2022: 1-5 [doi]

Demand Response Contextual Remuneration of Prosumers with Distributed StorageCátia Silva, Pedro Faria, Bruno Ribeiro 0008, Luis Gomes 0001, Zita Vale. sensors, 22(22):8877, 2022. [doi]

2016

Optimization of Electricity Markets Participation with Simulated AnnealingRicardo Faia, Tiago Pinto, Zita Vale. paams 2016: 27-39 [doi]

Dynamic Energy Management Method with Demand Response Interaction Applied in an Office BuildingFilipe Fernandes, Luís Gomes 0001, Hugo Morais, Marco R. Silva, Zita Vale, Juan M. Corchado. paams 2016: 69-82 [doi]

Customized Normalization Method to Enhance the Clustering Process of Consumption ProfilesCatarina Ribeiro, Tiago Pinto, Zita Vale. isami 2016: 67-76 [doi]

Multi-dimensional signaling method for population-based metaheuristics: Solving the large-scale scheduling problem in smart gridsJoão P. Soares, Mohammad Ali Fotouhi Ghazvini, Marco R. Silva, Zita Vale. swevo, 29:13-32, 2016. [doi]

Evaluation of different initial solution algorithms to be used in the heuristics optimization to solve the energy resource scheduling in smart gridsTiago M. Sousa, Hugo Morais, Rui Castro, Zita Vale. asc, 48:491-506, 2016. [doi]

Electrical Energy Consumption Forecast Using Support Vector MachinesEugénia Vinagre, Tiago Pinto, Sergio Ramos, Zita Vale, Juan M. Corchado. dexaw 2016: 171-175 [doi]

2015

Demand Response Shifting Management Applied to Distributed Generation and PumpingDiogo Boldt, Pedro Faria, Zita Vale. ssci 2015: 1537-1544 [doi]

Fuzzy-Probabilistic Estimation of the Electric Vehicles Energy ConsumptionNuno Borges, João P. Soares, Zita Vale. micai 2015: 26-36 [doi]

Portfolio Optimization for Electricity Market Participation with Particle SwarmRicardo Faia, Tiago Pinto, Zita Vale, E. J. Solteiro Pires. dexaw 2015: 62-67 [doi]

Quantum Particle Swarm Optimization Applied to Distinct Remuneration Approaches in Demand Response ProgramsFabio Pereira, João P. Soares, Pedro Faria, Zita Vale. ssci 2015: 1553-1560 [doi]

Pan-European Electricity Market Simulation Considering the European Power Network CapacitiesTiago Pinto, Hugo Silva, Zita Vale, Gabriel Santos, Isabel Praça. dexaw 2015: 91-95 [doi]

Six thinking hats: A novel metalearner for intelligent decision support in electricity marketsTiago Pinto, João Barreto, Isabel Praça, Tiago M. Sousa, Zita Vale, E. J. Solteiro Pires. dss, 79:1-11, 2015. [doi]

Data Mining Approach for Decision Support in Real Data Based Smart Grid ScenarioCatarina Ribeiro, Tiago Pinto, Marco R. Silva, Sergio Ramos, Zita Vale. dexaw 2015: 73-77 [doi]

Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets SimulationFrancisco Silva, Brigida Teixeira, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita Vale. paams 2015: 316-319 [doi]

Demand Response in Electric Vehicles Management Optimal Use of End-User ContractsJoão P. Soares, Zita Vale, Hugo Morais, Nuno Borges. micai 2015: 122-128 [doi]

Economic Impact of Demand Response in the Scheduling of Distributed Energy ResourcesJoao Spinola, Pedro Faria, Zita Vale. ssci 2015: 1545-1552 [doi]

Electrical Energy Consumption Forecast Using External Facility DataEugenia Vinagre, Luís Gomes 0001, Zita Vale. ssci 2015: 659-664 [doi]

2014

Elspot: Nord Pool Spot Integration in MASCEM Electricity Market SimulatorRicardo Fernandes, Gabriel Santos, Isabel Praça, Tiago William Pinto, Hugo Morais, Ivo F. Pereira, Zita Vale. paams 2014: 262-272 [doi]

Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart GridsLuís Gomes, Pedro Faria, Hugo Morais, Zita Vale, Carlos Ramos. expert, 29(1):56-65, 2014. [doi]

Analysis of Power Quality Disturbances in Industry in the Centre Region of PortugalLicínio Moreira, Sérgio Leitão, Zita Vale, João Galvão, Pedro Marques. ifip5-5 2014: 435-442 [doi]

Automatic Electricity Markets Data Extraction for Realistic Multi-agent SimulationsIvo F. Pereira, Tiago M. Sousa, Isabel Praça, Ana Freitas, Tiago William Pinto, Zita Vale, Hugo Morais. paams 2014: 371-374 [doi]

Strategic Bidding for Electricity Markets Negotiation Using Support Vector MachinesRafael Pereira, Tiago M. Sousa, Tiago William Pinto, Isabel Praça, Zita Vale, Hugo Morais. paams 2014: 9-17 [doi]

Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity MarketsIvo F. Pereira, Tiago M. Sousa, Isabel Praça, Ana Freitas, Tiago William Pinto, Zita Vale, Hugo Morais. dcai 2014: 387-395 [doi]

Particle Swarm Optimization of Electricity Market Negotiating Players PortfolioTiago William Pinto, Zita Vale, Tiago M. Sousa, Tiago M. Sousa, Hugo Morais, Isabel Praça. paams 2014: 273-284 [doi]

Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision SupportTiago M. Sousa, Tiago William Pinto, Isabel Praça, Zita Vale, Hugo Morais. dcai 2014: 141-148 [doi]

Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity marketsBrigida Teixeira, Francisco Silva, Tiago William Pinto, Isabel Praça, Gabriel Santos, Zita Vale. ieeeIA 2014: 8-15 [doi]

2013

Adapting meeting tools to agent decisionJ. Barreto, Isabel Praça, Tiago William Pinto, Tiago M. Sousa, Zita Vale. eais 2013: 32-39 [doi]

Modified discrete PSO to increase the delivered energy probability in distribution energy systemsBruno Canizes, João P. Soares, Hugo Morais, Zita Vale. ciasg 2013: 146-153 [doi]

Demand response programs definition using demand price elasticity to define consumers aggregation for an improved remuneration structurePedro Faria, Zita Vale. isgteurope 2013: 1-5 [doi]

Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approachPedro Faria, Tiago Soares, Tiago William Pinto, Tiago M. Sousa, João P. Soares, Zita Vale, Hugo Morais. ciasg 2013: 51-58 [doi]

Demand Response Management in Power Systems Using Particle Swarm OptimizationPedro Faria, Zita Vale, João P. Soares, Judite Ferreira. expert, 28(4):43-51, 2013. [doi]

Real-time simulation of energy management in a domestic consumerFilipe Fernandes, Marco R. Silva, Pedro Faria, Zita Vale, Carlos Ramos, Hugo Morais. isgteurope 2013: 1-5 [doi]

Electricity Markets Portfolio Optimization Using a Particle Swarm ApproachNuno Guedes, Tiago William Pinto, Zita Vale, Tiago M. Sousa, Tiago M. Sousa. dexaw 2013: 199-203 [doi]

Load control timescales simulation in a Multi-Agent Smart Grid PlatformP. Oliveira, L. Gomes, Tiago William Pinto, Pedro Faria, Zita Vale, Hugo Morais. isgteurope 2013: 1-5 [doi]

Adaptive Learning in Games: Defining Profiles of Competitor PlayersTiago William Pinto, Zita Vale. dcai 2013: 351-359 [doi]

Metalearner Based on Dynamic Neural Network for Strategic Bidding in Electricity MarketsTiago William Pinto, Tiago M. Sousa, Elisa Barreira, Isabel Praça, Zita Vale. dexaw 2013: 184-188 [doi]

Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysisTiago William Pinto, Isabel Praça, Zita Vale, Hugo Morais, Tiago M. Sousa. icae, 20(4):335-346, 2013. [doi]

Upper Ontology for Multi-Agent Energy Systems' ApplicationsGabriel Santos, Tiago William Pinto, Zita Vale, Hugo Morais, Isabel Praça. dcai 2013: 617-624 [doi]

Scenarios generation for multi-agent simulation of electricity markets based on intelligent data analysisGabriel Santos, Isabel Praça, Tiago William Pinto, Sergio Ramos, Zita Vale. ieeeIA 2013: 5-12 [doi]

Multi-objective parallel particle swarm optimization for day-ahead Vehicle-to-Grid schedulingJoão P. Soares, Zita Vale, Bruno Canizes, Hugo Morais. ciasg 2013: 138-145 [doi]

Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-gridJoão P. Soares, Tiago M. Sousa, Hugo Morais, Zita Vale, Bruno Canizes, António Silva. asc, 13(11):4264-4280, 2013. [doi]

2012

Increase of the delivered energy probability in DES using a fuzzy probabilistic modelingBruno Canizes, João P. Soares, Zita Vale, Joaquim Teixeira. isgteurope 2012: 1-7 [doi]

Secure Contents Design and Implement of Smart Home Management System in OISCSMinkyu Choi, Goreti Marreiros, Myunggwon Hwang, Zita Vale, Hoon Ko. fgit 2012: 216-223 [doi]

Energy and reserve provision dispatch considering distributed generation and demand responsePedro Faria, Zita Vale, Tiago Soares, Hugo Morais. isgteurope 2012: 1-7 [doi]

Combined heat and power and consumption optimization in a SCADA-based systemFilipe Fernandes, Hugo Morais, Pedro Faria, Zita Vale, Carlos Ramos. isgteurope 2012: 1-8 [doi]

A regulatory framework for short-term stochastic maintenance outage scheduling in smart gridsMohammad Ali Fotouhi Ghazvini, Zita Vale, Hugo Morais, Bruno Canizes. isgteurope 2012: 1-8 [doi]

Intelligent supervisory control system for home devices using a cyber physical approachHoon Ko, Goreti Marreiros, Hugo Morais, Zita Vale, Carlos Ramos. icae, 19(1):67-79, 2012. [doi]

A study on dynamic state information (DSI) around users for safe urban lifeHoon Ko, Kyung-jin An, Tai-Hoon Kim, Goreti Marreiros, Zita Vale, Jong-Myoung Choi. cma, 63(2):554-563, 2012. [doi]

Intelligent electric vehicle heuristic for Energy Resource Management using Simulated AnnealingTiago M. Sousa, Tiago William Pinto, Hugo Morais, Zita Vale. isgteurope 2012: 1-8 [doi]

2011

2010

Optimal Intelligent Supervisory Control System in Cyber-Physical IntelligenceHoon Ko, Zita Vale. fgit 2010: 171-178 [doi]

2009

Combining Artificial Intelligence Techniques for the Training of Power System Control Centre OperatorsLuiz Faria, António Silva, Zita Vale, Carlos Ramos. icaart 2010: 70-83 [doi]

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