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ORCIDZita A. Vale
Zita Vale
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- affiliation: Polytechnic of Porto, Portugal
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2020 – today
- 2022
[j60]José Almeida
, João P. Soares, Fernando Lezama, Zita A. Vale:
Robust Energy Resource Management Incorporating Risk Analysis Using Conditional Value-at-Risk. IEEE Access 10: 16063-16077 (2022)- [j59]Zahra Foroozandeh, Sérgio Ramos, João P. Soares, Zita A. Vale:
Goal Programming Approach for Energy Management of Smart Building. IEEE Access 10: 25341-25348 (2022) - [j58]Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings. IEEE Access 10: 61366-61374 (2022) - [j57]Bruno Canizes, Bruno Mota, Pedro Ribeiro, Zita A. Vale:
Demand Response Driven by Distribution Network Voltage Limit Violation: A Genetic Algorithm Approach for Load Shifting. IEEE Access 10: 62183-62193 (2022) - [j56]Ansel Y. Rodríguez González, Fernando Lezama, Yoan Martínez-López, Julio Madera, João P. Soares, Zita A. Vale:
WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective. Appl. Soft Comput. 125: 109162 (2022) - [j55]Rui Carvalho, Gabriel Santos, Zita Vale:
Open-access tools for the modelling and simulation of electricity markets. Energy Inform. 5 (2022) - [j54]Helder Pereira, Luis Gomes, Zita Vale:
Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning. Energy Inform. 5 (2022) - [j53]Filipe Fernandes, Hugo Morais, Zita A. Vale:
Near real-time management of appliances, distributed generation and electric vehicles for demand response participation. Integr. Comput. Aided Eng. 29(3): 313-332 (2022) - [j52]Cátia Silva, Pedro Faria, Bruno Ribeiro, Luis Gomes, Zita Vale:
Demand Response Contextual Remuneration of Prosumers with Distributed Storage. Sensors 22(22): 8877 (2022) - [c238]Eduardo Lacerda, Fernando Lezama, João P. Soares, Bruno Canizes, Zita A. Vale:
Metaheuristic Optimization Solving Demand Response Contract Markets with Network Validation. CEC 2022: 1-8 - [c237]Miguel Vieira, Ricardo Faia, Fernando Lezama, Zita A. Vale:
A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem. CEC 2022: 1-7 - [c236]Vitor Oliveira, Tiago Pinto, Ricardo Faia, Bruno Veiga, João P. Soares, Rubén Romero, Zita Vale:
Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation Using Sequential Model Algorithm Configuration. EPIA 2022: 245-257 - [c235]Daniel Ramos, Pedro Faria, Luis Gomes, Pedro Campos, Zita A. Vale:
A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts. EPIA 2022: 271-281 - [c234]José Almeida, Fernando Lezama, João P. Soares, Zita A. Vale, Bruno Canizes:
Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition. GECCO Companion 2022: 1812-1816 - [c233]Meysam Khojasteh, Pedro Faria, Fernando Lezama, Zita Vale:
Optimal Strategy of Energy Aggregators in the Energy and Regulation markets: Chance-Constrained Approach. ISGT-Europe 2022: 1-5 - [c232]Cátia Silva, Pedro Faria, Bruno Canizes, Zita Vale:
Real-Time Approach for Managing Power Network by Shifting Electricity Consumers Demand. ISGT-Europe 2022: 1-5 - [c231]Tiago Pinto, Tânia Rocha, Arsénio Reis, Zita Vale:
Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and Efficiency. MCSS 2022: 144-152 - [c230]Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
CPU Computation Influence on Energy Consumption Forecasting Activities of a Building. SOCO 2022: 51-61 - [c229]Bruno Ribeiro, Helder Pereira, Luis Gomes, Zita Vale:
Python-Based Ecosystem for Agent Communities Simulation. SOCO 2022: 62-71 - [c228]Cátia Silva, Pedro Faria, Zita A. Vale:
DR Participants' Actual Response Prediction Using Artificial Neural Networks. SOCO 2022: 176-185 - 2021
- [j51]Ricardo Faia, João P. Soares, Tiago Pinto, Fernando Lezama, Zita A. Vale, Juan M. Corchado:
Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions. IEEE Access 9: 12420-12430 (2021) - [j50]Tiago Pinto, Michael J. Wooldridge, Zita A. Vale:
Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility. IEEE Access 9: 51519-51535 (2021) - [j49]Cindy P. Guzmán, Nataly Bañol Arias, John Fredy Franco, João P. Soares, Zita A. Vale, Rubén A. Romero:
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator Through a Novel Renewable Usage Index. IEEE Access 9: 105357-105368 (2021) - [j48]Steffen Limmer, Fernando Lezama, João P. Soares, Zita A. Vale:
Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach. IEEE Access 9: 146183-146194 (2021) - [j47]Pedro Faria, Fernando Lezama, Zita A. Vale, Mahsa Khorram:
A methodology for energy key performance indicators analysis. Energy Inform. 4(1) (2021) - [j46]Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João P. Soares, Zita A. Vale:
Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions. Energy Inform. 4(S2) (2021) - [j45]Bruno Mota, Miguel Albergaria, Helder Pereira, José Silva, Luis Gomes, Zita A. Vale, Carlos Ramos:
Climatization and luminosity optimization of buildings using genetic algorithm, random forest, and regression models. Energy Inform. 4(S2) (2021) - [j44]Helder Pereira, Luis Gomes, Pedro Faria, Zita A. Vale, Carlos Coelho:
Web-based platform for the management of citizen energy communities and their members. Energy Inform. 4(S2) (2021) - [j43]Tiago Pinto, Isabel Praça, Zita A. Vale, Jose Silva:
Ensemble learning for electricity consumption forecasting in office buildings. Neurocomputing 423: 747-755 (2021) - [j42]Esteban Jove, Roberto Casado-Vara, José Luís Casteleiro-Roca, Juan Albino Méndez Pérez, Zita A. Vale, José Luís Calvo-Rolle:
A hybrid intelligent classifier for anomaly detection. Neurocomputing 452: 498-507 (2021) - [c227]Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale:
Sparse Training Theory for Scalable and Efficient Agents. AAMAS 2021: 34-38 - [c226]José Almeida, João P. Soares, Bruno Canizes, Fernando Lezama, Mohammad Ali Fotouhi Ghazvini, Zita A. Vale:
Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators. CEC 2021: 225-232 - [c225]Eduardo Lacerda, Fernando Lezama, João P. Soares, Zita A. Vale:
DSO Contract Market for Demand Response Using Evolutionary Computation. CEC 2021: 233-240 - [c224]Inês Tavares, José Almeida, João P. Soares, Sérgio Ramos, Zita A. Vale, Zahra Foroozandeh:
Optimizing Energy Consumption of Household Appliances Using PSO and GWO. EPIA 2021: 137-150 - [c223]Brigida Teixeira, Tiago Pinto, Pedro Faria, Zita A. Vale:
PV Generation Forecasting Model for Energy Management in Buildings. EPIA 2021: 176-182 - [c222]Juliana Chavez, João P. Soares, Zita A. Vale, Bruno Canizes, Sérgio Ramos:
A Review of Unpredictable Renewable Energy Sources Through Electric Vehicles on Islands. IBICA 2021: 751-760 - [c221]Bruno Canizes, João P. Soares, José Almeida, Wanderley Paris, Zita A. Vale:
Energy Resource Scheduling Optimization for Smart Power Distribution Grids - Hour-Ahead Horizon. ISGT-Europe 2021: 1-6 - [c220]Zahra Foroozandeh, Sérgio Ramos, João P. Soares, Zita A. Vale:
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings. ISGT-Europe 2021: 1-5 - [c219]Cátia Silva, Pedro Faria, Zita A. Vale:
Consumers Minimum Rate for Participation in Demand Response Events Under Uncertainty. ISGT-Europe 2021: 1-5 - [c218]João P. Soares, Fernando Lezama, Aldo Trindade, Sérgio Ramos, Bruno Canizes, Zita A. Vale:
Electric Vehicles Trips and Charging Simulator Considering the User Behaviour in a Smart City. ISGT-Europe 2021: 1-6 - [c217]Gabriel Santos, Tiago Pinto, Zita A. Vale, Juan M. Corchado:
Semantic Interoperability for Multiagent Simulation and Decision Support in Power Systems. PAAMS (Workshops) 2021: 215-226 - [c216]Gabriel Santos, Alda Canito, Rui Carvalho, Tiago Pinto, Zita A. Vale, Goreti Marreiros, Juan M. Corchado:
Semantic Services Catalog for Multiagent Systems Society. PAAMS 2021: 229-240 - [c215]José Almeida, João P. Soares, Bruno Canizes, Iván S. Razo-Zapata, Zita A. Vale:
Intraday Energy Resource Scheduling for Load Aggregators Considering Local Market. SOCO 2021: 233-242 - [c214]Luis Gomes, Zita A. Vale:
Energy Predictions for System on a Chip Solutions. SOCO 2021: 243-250 - [c213]José Almeida, João P. Soares, Fernando Lezama, Bruno Canizes, Zita A. Vale:
Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators. SSCI 2021: 1-8 - [c212]Fernando Lezama, João P. Soares, Bruno Canizes, Zita A. Vale:
A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain. SSCI 2021: 1-8 - [c211]Osvaldo Ribeiro, Luis Gomes, Zita A. Vale:
IoT-Based Human Fall Detection Solution Using Morlet Wavelet. SSCT 2021: 14-25 - [c210]Cátia Silva, Pedro Faria, Zita A. Vale:
Managing Smart City Power Network by Shifting Electricity Consumers Demand. SSCT 2021: 81-91 - [d1]João P. Soares, Fernando Lezama, Bruno Canizes, Zita Vale:
Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications. IEEE DataPort 2021 - [i1]Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale:
Sparse Training Theory for Scalable and Efficient Agents. CoRR abs/2103.01636 (2021) - 2020
- [j41]Luis Gomes, Zita A. Vale, Juan Manuel Corchado Rodríguez:
Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access 8: 64169-64183 (2020) - [j40]Brigida Teixeira, Gabriel Santos, Tiago Pinto, Zita A. Vale, Juan M. Corchado:
Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy Systems. IEEE Access 8: 81129-81141 (2020) - [j39]Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Consumption Optimization in an Office Building Considering Flexible Loads and User Comfort. Sensors 20(3): 593 (2020) - [j38]Daniel Ramos, Brigida Teixeira, Pedro Faria, Luis Gomes, Omid Abrishambaf, Zita A. Vale:
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach. Sensors 20(12): 3524 (2020) - [j37]Luis Gomes, Carlos Almeida, Zita A. Vale:
Recommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent System. Sensors 20(12): 3597 (2020) - [c209]Tiago Pinto, Luis Gomes, Pedro Faria, Filipe Sousa, Zita A. Vale:
MARTINE: Multi-Agent based Real-Time INfrastructure for Energy. AAMAS 2020: 2114-2116 - [c208]Bruno Canizes, João P. Soares, Fernando Lezama, Zita A. Vale:
Complex Large-Scale Energy Resource Management Optimization Considering Demand Flexibility. CEC 2020: 1-8 - [c207]Fernando Lezama, Ricardo Faia, João P. Soares, Pedro Faria, Zita A. Vale:
Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization. CEC 2020: 1-8 - [c206]João P. Soares, Fernando Lezama, Zita A. Vale, Stephane Brisset, Bruno François:
Safety Isolating Transformer Design using HyDE-DF algorithm. CEC 2020: 1-7 - [c205]Francisco Lecumberri de Alba, Alfonso González-Briones, Pablo Chamoso, Tiago Pinto, Zita A. Vale, Juan M. Corchado:
A P2P Electricity Negotiation Agent Systems in Urban Smart Grids. DCAI (Special Sessions) 2020: 97-106 - [c204]Tiago Pinto, Zita A. Vale:
Contextual Q-Learning. ECAI 2020: 2927-2928 - [c203]Tiago Pinto, Zita A. Vale:
Adaptive Learning in Multiagent Systems for Automated Energy Contacts Negotiation. ECAI 2020: 2929-2930 - [c202]Mahsa Khorram, Modar Zheiry, Pedro Faria, Zita A. Vale:
Energy Consumption Management in Buildings in the Context of Voluntary and Mandatory Demand Response Programs in Smart Grids. ISGT-Europe 2020: 275-279 - [c201]Meysam Khojasteh, Pedro Faria, Zita A. Vale:
Scheduling of Battery Energy Storage and Demand Response Resource in Balancing Ancillary Service. ISGT-Europe 2020: 299-303 - [c200]Ricardo Faia, Bruno Canizes, Pedro Faria, Zita A. Vale, José M. Terras, Luís V. Cunha:
Optimal Distribution Grid Operation Using Demand Response. ISGT-Europe 2020: 1221-1225 - [c199]Rui Andrade, Sandra Garcia-Rodriguez, Isabel Praça, Zita A. Vale:
A Two Tier Architecture for Local Energy Market Simulation and Control. PAAMS (Workshops) 2020: 302-313 - [c198]Catarina Ribeiro, Tiago Pinto, Zita A. Vale, José Baptista:
Data Mining for Remuneration of Consumers Demand Response Participation. PAAMS (Workshops) 2020: 326-338 - [e6]Enrique Herrera-Viedma, Zita A. Vale, Peter Nielsen, Ángel Martín del Rey, Roberto Casado-Vara:
Distributed Computing and Artificial Intelligence, 16th International Conference, DCAI 2019, Avila, Spain, 26-28 June, 2019, Special Sessions. Advances in Intelligent Systems and Computing 1004, Springer 2020, ISBN 978-3-030-23945-9 [contents]
2010 – 2019
- 2019
- [j36]Ricardo Faia, Tiago Pinto, Zita A. Vale, Juan Manuel Corchado:
Hybrid approach based on particle swarm optimization for electricity markets participation. Energy Inform. 2(1) (2019) - [j35]Luis Gomes, Carlos Ramos, Aria Jozi, Bruno Serra, Lucas Paiva, Zita A. Vale:
IoH: A Platform for the Intelligence of Home with a Context Awareness and Ambient Intelligence Approach. Future Internet 11(3): 58 (2019) - [j34]Tiago Pinto, Ricardo Faia, María Navarro-Cáceres, Gabriel Santos, Juan Manuel Corchado, Zita A. Vale:
Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings. IEEE Syst. J. 13(1): 1084-1095 (2019) - [j33]Fernando Lezama, João P. Soares, Zita A. Vale, José L. Rueda, Sergio Rivera, István Elrich:
2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results. Swarm Evol. Comput. 44: 420-427 (2019) - [c197]Tiago Pinto, Zita A. Vale:
ALBidS: A Decision Support System for Strategic Bidding in Electricity Markets. AAMAS 2019: 2375-2377 - [c196]Tiago Pinto, Gabriel Santos, Zita A. Vale:
Practical Application of a Multi-Agent Systems Society for Energy Management and Control. AAMAS 2019: 2378-2380 - [c195]Francisco Silva, Tiago Pinto, Zita A. Vale:
Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations. AAMAS 2019: 2384-2386 - [c194]Jose Silva, Isabel Praça, Tiago Pinto, Zita A. Vale:
Energy Consumption Forecasting Using Ensemble Learning Algorithms. DCAI (Special Sessions) 2019: 5-13 - [c193]Cátia Silva, Pedro Faria, Zita A. Vale:
Study of Multi-Tariff Influence on the Distributed Generation Remuneration. DCAI (Special Sessions) 2019: 14-19 - [c192]Mahsa Khorram, Pedro Faria, Zita A. Vale:
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level. DCAI (Special Sessions) 2019: 20-28 - [c191]Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale:
Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. EPIA (1) 2019: 438-449 - [c190]Aria Jozi, Daniel Ramos, Luis Gomes, Pedro Faria, Tiago Pinto, Zita A. Vale:
Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings. EPIA (1) 2019: 462-468 - [c189]Tiago Pinto, Zita A. Vale:
Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral Negotiations. EPIA (1) 2019: 519-531 - [c188]Ricardo Faia, Tiago Pinto, Zita A. Vale:
Fair Remuneration of Energy Consumption Flexibility Using Shapley Value. EPIA (1) 2019: 532-544 - [c187]Alda Canito, Gabriel Santos, Juan M. Corchado, Goreti Marreiros, Zita A. Vale:
Semantic Web Services for Multi-Agent Systems Interoperability. EPIA (2) 2019: 606-616 - [c186]Fernando Lezama, João P. Soares, Ricardo Faia, Zita A. Vale:
Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization. GECCO (Companion) 2019: 7-8 - [c185]Fernando Lezama, João P. Soares, Ricardo Faia, Zita A. Vale, Leonardo H. Macedo, Rubén A. Romero:
Business models for flexibility of electric vehicles: evolutionary computation for a successful implementation. GECCO (Companion) 2019: 1873-1878 - [c184]Tiago Pinto, Zita A. Vale:
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations. IJCAI 2019: 6563-6565 - [c183]Tiago Pinto, Isabel Praça, Zita A. Vale, Carlos Santos:
Collaborative Reinforcement Learning of Energy Contracts Negotiation Strategies. PAAMS (Workshops) 2019: 202-210 - [c182]Bruno Serra, Luis Gomes, Zita A. Vale:
Lightweight Architecture for IoT Devices with Context-aware Autonomous Control. WCNC Workshops 2019: 1-6 - [c181]Francisco Silva, Tiago Pinto, Isabel Praça, Zita A. Vale:
Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning. WorldCIST (1) 2019: 556-571 - 2018
- [j32]Ricardo Faia, Tiago Pinto, Zita A. Vale, Juan M. Corchado:
Strategic Particle Swarm Inertia Selection for Electricity Markets Participation Portfolio Optimization. Appl. Artif. Intell. 32(7-8): 745-767 (2018) - [j31]Omid Abrishambaf, Pedro Faria, Zita A. Vale:
Application of an optimization-based curtailment service provider in real-time simulation. Energy Inform. 1(1) (2018) - [j30]Mahsa Khorram, Omid Abrishambaf, Pedro Faria, Zita A. Vale:
Office building participation in demand response programs supported by intelligent lighting management. Energy Inform. 1(1) (2018) - [j29]Gabriel Santos, Tiago Pinto, Isabel Praça, Zita A. Vale:
Iberian electricity market ontology to enable smart grid market simulation. Energy Inform. 1(1) (2018) - [j28]Fernando Lezama, João P. Soares, Zita A. Vale:
A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids. Energy Inform. 1(S1) (2018) - [j27]Francisco Silva, Gabriel Santos, Isabel Praça, Zita A. Vale:
A context-based building security alarm through power and sensors analysis. Energy Inform. 1(S1) (2018) - [j26]Luis Gomes, Filipe Sousa, Zita A. Vale:
An Intelligent Smart Plug with Shared Knowledge Capabilities. Sensors 18(11): 3961 (2018) - [c180]Fernando Lezama, João P. Soares, Ricardo Faia, Tiago Pinto, Zita A. Vale:
A New Hybrid-Adaptive Differential Evolution for a Smart Grid Application Under Uncertainty. CEC 2018: 1-8 - [c179]Rui Andrade, Tiago Pinto, Isabel Praça, Zita A. Vale:
UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings. DCAI (Special Sessions) 2018: 3-11 - [c178]João Nascimento, Tiago Pinto, Zita A. Vale:
Electricity Price Forecast for Futures Contracts with Artificial Neural Network and Spearman Data Correlation. DCAI (Special Sessions) 2018: 12-20 - [c177]Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemes. DCAI (Special Sessions) 2018: 21-29 - [c176]Cátia Silva, Pedro Faria, Zita A. Vale:
Clustering Support for an Aggregator in a Smart Grid Context. HIS 2018: 156-165 - [c175]Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Economic Impact of an Optimization-Based SCADA Model for an Office Building. HIS 2018: 166-175 - [c174]Ricardo Faia, Fernando Lezama, João P. Soares, Zita A. Vale, Tiago Pinto, Juan Manuel Corchado:
Differential Evolution Aplication in Portfolio optimization for Electricity Markets. IJCNN 2018: 1-8 - [c173]Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale, João P. Soares:
Day ahead electricity consumption forecasting with MOGUL learning model. IJCNN 2018: 1-6 - [c172]Md Tofael Ahmed, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Electric Water Heater Modelling for Direct Load Control Demand Response. INDIN 2018: 490-495 - [c171]Mahsa Khorram, Pedro Faria, Zita A. Vale:
optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes. INDIN 2018: 508-513 - [c170]Omid Abrishambaf, Pedro Faria, Zita A. Vale:
SCADA Office Building Implementation in the Context of an Aggregator. INDIN 2018: 984-989 - [c169]Gabriel Santos, Tiago Pinto, Zita A. Vale:
Multi-agent Systems Society for Power and Energy Systems Simulation. MABS 2018: 126-137 - [c168]Francisco Silva, Ricardo Faia, Tiago Pinto, Isabel Praça, Zita A. Vale:
Optimizing Opponents Selection in Bilateral Contracts Negotiation with Particle Swarm. PAAMS (Workshops) 2018: 116-124 - [c167]