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2020 – today
- 2023
- [c123]João Carvalho, Tiago Pinto, Juan M. Home-Ortiz, Brigida Teixeira, Zita Vale, Rubén Romero:
Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation. DCAI (2) 2023: 245-255 - [c122]Dani Vidal, Tiago Pinto, José Baptista:
Sizing of Urban Power Systems Based on Renewable Sources. DCAI (2) 2023: 256-266 - [c121]Brigida Teixeira, Ricardo Faia, Tiago Pinto, Zita Vale:
Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation. DCAI (2) 2023: 267-276 - [c120]Pedro Monteiro, Claudio Lima, Tiago Pinto, Paulo Nogueira, Arsénio Reis, Vítor Filipe:
Context-Aware Applications in Industry 4.0: A Systematic Literature Review. DCAI (2) 2023: 301-311 - [c119]Arlindo Santos, Claudio Lima, Arsénio Reis, Tiago Pinto, Paulo Nogueira, João Barroso:
Design of Context-Aware Information Systems in Manufacturing Industries: Overview and Challenges. DCAI (2) 2023: 322-331 - [c118]Hugo Anes, Tiago Pinto, Claudio Lima, Paulo Nogueira, Arsénio Reis:
Wearable Devices in Industry 4.0: A Systematic Literature Review. DCAI (2) 2023: 332-341 - [c117]Aria Jozi, Tiago Pinto, Luis Gomes, Goreti Marreiros, Zita Vale:
Rule-Based System for Intelligent Energy Management in Buildings. EPIA (2) 2023: 169-181 - [c116]Bruno Veiga, Tiago Pinto, Rúben Teixeira, Carlos Ramos:
Vision Transformers Applied to Indoor Room Classification. EPIA (2) 2023: 561-573 - [c115]Rodrigo Pereira, Claudio Lima, Arsénio Reis, Tiago Pinto, João Barroso:
Review of Platforms and Frameworks for Building Virtual Assistants. WorldCIST (3) 2023: 105-114 - [e3]Rashid Mehmood, Victor Alves, Isabel Praça, Jaroslaw Wikarek, Javier Parra-Domínguez, Roussanka Loukanova, Ignacio de Miguel, Tiago Pinto, Ricardo Nunes, Michela Ricca:
Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference, Guimaraes, Portugal, 12-14 July 2023. Lecture Notes in Networks and Systems 741, Springer 2023, ISBN 978-3-031-38317-5 [contents] - [d7]Gabriel Santos, Hugo Morais, Tiago Pinto, Juan M. Corchado, Zita Vale:
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration. Version 2. Zenodo, 2023 [all versions] - [d6]Bruno Veiga, Gabriel Santos, Tiago Pinto, Ricardo Faia, Carlos Ramos, Zita Vale:
Demonstration of Simulation Tools for Electricity Markets considering Power Flow Analysis. Zenodo, 2023 - 2022
- [c114]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 - [c113]José Baptista, Nuno Pimenta, Raul Morais, Tiago Pinto:
Modeling Stand-Alone Photovoltaic Systems with Matlab/Simulink. EPIA 2022: 258-270 - [c112]Tiago Pinto, Tânia Rocha, Arsénio Reis, Zita Vale:
Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and Efficiency. MCSS 2022: 144-152 - [c111]Carlos Rodrigues, Arsénio Reis, Rodrigo Pereira, Paulo Martins, José Sousa, Tiago Pinto:
A Review of Conversational Agents in Education. TECH-EDU 2022: 461-467 - [c110]Rodrigo Pereira, Arsénio Reis, João Barroso, José Sousa, Tiago Pinto:
Virtual Assistants Applications in Education. TECH-EDU 2022: 468-480 - [c109]Jácint Duduka, Arsénio Reis, Rodrigo Pereira, Eduardo José Solteiro Pires, José Sousa, Tiago Pinto:
The Impact of Artificial Intelligence on Chatbot Design. TECH-EDU 2022: 481-486 - [d5]Luis Gomes, Tiago Pinto, Zita Vale:
A full-year data regarding a smart building. Zenodo, 2022 - 2021
- [j20]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) - [j19]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) - [j18]Tiago Pinto, Isabel Praça, Zita A. Vale, José Silva:
Ensemble learning for electricity consumption forecasting in office buildings. Neurocomputing 423: 747-755 (2021) - [c108]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 - [c107]Eduardo Praun Machado, Hugo Morais, Tiago Pinto:
Wind Speed Forecasting Using Feed-Forward Artificial Neural Network. DCAI (1) 2021: 159-168 - [c106]Brigida Teixeira, Tiago Pinto, Pedro Faria, Zita A. Vale:
PV Generation Forecasting Model for Energy Management in Buildings. EPIA 2021: 176-182 - [c105]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 - [c104]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 - [d4]Luis Gomes, Zita Vale, Tiago Pinto:
Photovoltaic generation data, for 3 years, regarding the 2022-3 Competition on solar generation forecasting. Zenodo, 2021 - [d3]Gabriel Santos, Alda Canito, Rui Carvalho, Tiago Pinto, Zita Vale, Goreti Marreiros, Juan M. Corchado:
Semantic Services Catalog: Demonstration of Multiagent Systems Society co-simulation. Zenodo, 2021 - [d2]Gabriel Santos, Luis Gomes, Tiago Pinto, Zita Vale, Pedro Faria:
MARTINE Semantic Interoperability: Local Electricity Market Hour-Ahead Session. Zenodo, 2021 - [d1]Gabriel Santos, Hugo Morais, Tiago Pinto, Juan M. Corchado, Zita Vale:
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration. Version 1.0. Zenodo, 2021 [all versions] - [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
- [j17]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) - [j16]Tiago Pinto:
Adaptive Learning in Electricity Market Negotiations Based on Determinism Theory. IEEE Intell. Syst. 35(1): 62-73 (2020) - [c103]Tiago Pinto, Luis Gomes, Pedro Faria, Filipe Sousa, Zita A. Vale:
MARTINE: Multi-Agent based Real-Time INfrastructure for Energy. AAMAS 2020: 2114-2116 - [c102]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 - [c101]Tiago Pinto, Zita A. Vale:
Contextual Q-Learning. ECAI 2020: 2927-2928 - [c100]Tiago Pinto, Zita A. Vale:
Adaptive Learning in Multiagent Systems for Automated Energy Contacts Negotiation. ECAI 2020: 2929-2930 - [c99]Rui Andrade, Tiago Pinto, Isabel Praça:
Trust Model for a Multi-agent Based Simulation of Local Energy Markets. PAAMS (Workshops) 2020: 183-194 - [c98]Catarina Ribeiro, Tiago Pinto, Zita A. Vale, José Baptista:
Data Mining for Remuneration of Consumers Demand Response Participation. PAAMS (Workshops) 2020: 326-338
2010 – 2019
- 2019
- [j15]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) - [j14]Tiago Pinto, Hugo Morais, Juan Manuel Corchado:
Adaptive entropy-based learning with dynamic artificial neural network. Neurocomputing 338: 432-440 (2019) - [j13]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) - [c97]Tiago Pinto, Zita A. Vale:
ALBidS: A Decision Support System for Strategic Bidding in Electricity Markets. AAMAS 2019: 2375-2377 - [c96]Tiago Pinto, Gabriel Santos, Zita A. Vale:
Practical Application of a Multi-Agent Systems Society for Energy Management and Control. AAMAS 2019: 2378-2380 - [c95]Francisco Silva, Tiago Pinto, Zita A. Vale:
Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations. AAMAS 2019: 2384-2386 - [c94]José Silva, Isabel Praça, Tiago Pinto, Zita A. Vale:
Energy Consumption Forecasting Using Ensemble Learning Algorithms. DCAI (Special Sessions) 2019: 5-13 - [c93]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 - [c92]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 - [c91]Tiago Pinto, Zita A. Vale:
Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral Negotiations. EPIA (1) 2019: 519-531 - [c90]Ricardo Faia, Tiago Pinto, Zita A. Vale:
Fair Remuneration of Energy Consumption Flexibility Using Shapley Value. EPIA (1) 2019: 532-544 - [c89]Tiago Pinto, Zita A. Vale:
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations. IJCAI 2019: 6563-6565 - [c88]Tiago Pinto, Isabel Praça, Zita A. Vale, Carlos Santos:
Collaborative Reinforcement Learning of Energy Contracts Negotiation Strategies. PAAMS (Workshops) 2019: 202-210 - [c87]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
- [j12]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) - [j11]João P. Soares, Tiago Pinto, Fernando Lezama, Hugo Morais:
Survey on Complex Optimization and Simulation for the New Power Systems Paradigm. Complex. 2018: 2340628:1-2340628:32 (2018) - [j10]João P. Soares, Fernando Lezama, Tiago Pinto, Hugo Morais:
Complex Optimization and Simulation in Power Systems. Complex. 2018: 6562876:1-6562876:3 (2018) - [j9]Gabriel Santos, Tiago Pinto, Isabel Praça, Zita A. Vale:
Iberian electricity market ontology to enable smart grid market simulation. Energy Inform. 1(1) (2018) - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [c82]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 - [c81]Tiago Pinto, Rafael Arrais, Germano Veiga:
Bridging Automation and Robotics: an Interprocess Communication between IEC 61131-3 and ROS. INDIN 2018: 1085-1091 - [c80]Gabriel Santos, Tiago Pinto, Zita A. Vale:
Multi-agent Systems Society for Power and Energy Systems Simulation. MABS 2018: 126-137 - [c79]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 - [c78]Jaime Rodriguez-Fernandez, Tiago Pinto, Francisco Silva, Isabel Praça, Zita A. Vale, Juan Manuel Corchado:
Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation. PAAMS (Workshops) 2018: 125-133 - [c77]Brigida Teixeira, Francisco Silva, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale:
Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation. PAAMS 2018: 353-356 - [c76]Ângelo Pinto, Tiago Pinto, Isabel Praça, Zita A. Vale, Pedro Faria:
Clustering-based negotiation profiles definition for local energy transactions. SmartGridComm 2018: 1-5 - [c75]Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale:
Day-ahead forecasting approach for energy consumption of an office building using support vector machines. SSCI 2018: 1620-1625 - [c74]Ricardo Faia, Tiago Pinto, Zita A. Vale, Juan Manuel Corchado, João P. Soares, Fernando Lezama:
Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach. SSCI 2018: 1823-1829 - [e2]Fernando de la Prieta, Zita A. Vale, Luis Antunes, Tiago Pinto, Andrew T. Campbell, Vicente Julián, António J. R. Neves, María N. Moreno:
Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Special Sessions. Advances in Intelligent Systems and Computing 619, Springer 2018, ISBN 978-3-319-61577-6 [contents] - 2017
- [c73]Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto Castrillo, Javier Prieto, Juan Manuel Corchado, Aria Jozi, Zita A. Vale, Ganesh Kumar Venayagamoorthy:
Organization-based Multi-Agent structure of the Smart Home Electricity System. CEC 2017: 1327-1334 - [c72]Catarina Ribeiro, Tiago Pinto, Zita A. Vale, José Baptista:
Data Mining for Prosumers Aggregation considering the Self-Generation. DCAI 2017: 96-103 - [c71]Gabriel Santos, Tiago Pinto, Isabel Praça, Zita A. Vale:
Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM. EPIA 2017: 283-294 - [c70]Ricardo Faia, Tiago Pinto, Tiago Sousa, Zita A. Vale, Juan Manuel Corchado:
Automatic Selection of Optimization Algorithms for Energy Resource Scheduling using a Case-Based Reasoning System. ICCBR (Workshops) 2017: 117-126 - [c69]Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto Castrillo, Juan Manuel Corchado, Omid Abrishambaf, Aria Jozi, Zita A. Vale:
Energy flexibility assessment of a multi agent-based smart home energy system. ICUWB 2017: 1-7 - [c68]Francisco Silva, Brigida Teixeira, Tiago Pinto, Isabel Praça, Goreti Marreiros, Zita A. Vale:
Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets. ISAmI 2017: 159-166 - [c67]Ana Correia, Bruno Amaro, Emanuel Junior, João Barbosa, Tiago Pinto, Estela Bicho, Filomena O. Soares, Paulo Moura Oliveira:
Teaching/learning PBL activity: Gantry crane control system implementation. MED 2017: 962-967 - [c66]Amin Shokri Gazafroudi, Francisco Prieto Castrillo, Tiago Pinto, Aria Jozi, Zita A. Vale:
Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home. PAAMS (Special Sessions) 2017: 81-91 - [c65]Bruno Canizes, Tiago Pinto, João P. Soares, Zita A. Vale, Pablo Chamoso, Daniel Santos:
Smart City: A GECAD-BISITE Energy Management Case Study. PAAMS (Special Sessions) 2017: 92-100 - [c64]Ricardo Faia, Tiago Pinto, Zita A. Vale:
Initial Solution Heuristic for Portfolio Optimization of Electricity Markets Participation. PAAMS (Workshops) 2017: 130-142 - [c63]Amin Shokri Gazafroudi, Francisco Prieto Castrillo, Tiago Pinto, Juan Manuel Corchado:
Organization-Based Multi-agent System of Local Electricity Market: Bottom-Up Approach. PAAMS (Special Sessions) 2017: 281-283 - [c62]Catarina Ribeiro, Tiago Pinto, Zita A. Vale, José Baptista:
Remuneration and Tariffs in the Context of Virtual Power Players. PAAMS (Special Sessions) 2017: 284-286 - [c61]Eugénia Vinagre, Tiago Pinto, Zita A. Vale, Carlos Ramos:
Big Data in Efficient Smart Grids Management. PAAMS (Special Sessions) 2017: 297-299 - [c60]Gabriel Santos, Tiago Pinto, Zita A. Vale:
Ontologies for the Interoperability of Heterogeneous Multi-agent Systems in the Scope of Power and Energy Systems. PAAMS (Special Sessions) 2017: 300-301 - [c59]Ricardo Faia, Tiago Pinto, Zita A. Vale:
Decision Support for Agents' Participation in Electricity Markets. PAAMS (Special Sessions) 2017: 302-304 - [c58]Francisco Silva, Tiago Pinto, Isabel Praça, Zita A. Vale:
Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets. PAAMS (Special Sessions) 2017: 305-306 - [c57]Brigida Teixeira, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale:
Tools Control Center to Enable the Joint Simulation of Multi-agent Systems. PAAMS (Special Sessions) 2017: 307-308 - [c56]Ricardo Faia, Tiago Pinto, Zita A. Vale, Juan Manuel Corchado:
Hybrid particle swarm optimization of electricity market participation portfolio. SSCI 2017: 1-8 - [c55]Pedro Faria, Ângelo Pinto, Zita A. Vale, Mahsa Khorram, Fernando Buarque de Lima Neto, Tiago Pinto:
Lighting consumption optimization using fish school search algorithm. SSCI 2017: 1-5 - [c54]Aria Jozi, Tiago Pinto, Isabel Praça, Sérgio Ramos, Zita A. Vale, Bénédicte Goujon, Teodora Petrisor:
Energy consumption forecasting using neuro-fuzzy inference systems: Thales TRT building case study. SSCI 2017: 1-5 - [c53]Jaime Rodriguez-Fernandez, Tiago Pinto, Francisco Silva, Isabel Praça, Zita A. Vale, Juan Manuel Corchado:
Bilateral contract prices estimation using a Q-leaming based approach. SSCI 2017: 1-6 - [e1]Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel P. Rocha, Juan F. De Paz, Tiago Pinto:
11th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2017, Porto, Portugal, 21-23 June, 2017. Advances in Intelligent Systems and Computing 616, Springer 2017, ISBN 978-3-319-60815-0 [contents] - 2016
- [b1]Tiago Pinto:
Decision support for the strategic behaviour of electricity market players. University of Trás-os-Montes and Alto Douro, Portugal, 2016 - [j8]Tiago Pinto, Tiago M. Sousa, Isabel Praça, Zita A. Vale, Hugo Morais:
Support Vector Machines for decision support in electricity markets' strategic bidding. Neurocomputing 172: 438-445 (2016) - [j7]Tiago Pinto, Hugo Morais, Tiago M. Sousa, Tiago Sousa, Zita A. Vale, Isabel Praça, Ricardo Faia, Eduardo José Solteiro Pires:
Adaptive Portfolio Optimization for Multiple Electricity Markets Participation. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1720-1733 (2016) - [c52]Ricardo Faia, Tiago Pinto, Zita A. Vale:
Portfolio Optimization for Electricity Market Participation with NPSO-LRS. DEXA Workshops 2016: 148-152 - [c51]Francisco Silva, Brigida Teixeira, Nuno Teixeira, Tiago Pinto, Isabel Praça, Zita A. Vale:
Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity. DEXA Workshops 2016: 161-165 - [c50]Eugénia Vinagre, Tiago Pinto, Sérgio Ramos, Zita A. Vale, Juan M. Corchado:
Electrical Energy Consumption Forecast Using Support Vector Machines. DEXA Workshops 2016: 171-175 - [c49]Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale:
Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature. GIIS 2016: 1-6 - [c48]Gabriel Santos, Filipe Fernandes, Tiago Pinto, Marco R. Silva, Omid Abrishambaf, Hugo Morais, Zita A. Vale:
House management system with real and virtual resources: Energy efficiency in residential microgrid. GIIS 2016: 1-6 - [c47]Catarina Ribeiro, Tiago Pinto, Zita A. Vale:
Customized Normalization Method to Enhance the Clustering Process of Consumption Profiles. ISAmI 2016: 67-76 - [c46]Ricardo Faia, Tiago Pinto, Zita A. Vale:
Optimization of Electricity Markets Participation with Simulated Annealing. PAAMS (Special Sessions) 2016: 27-39 - [c45]Tiago Pinto, Zita A. Vale, Isabel Praça, Gabriel Santos:
Demonstration of ALBidS: Adaptive Learning Strategic Bidding System. PAAMS 2016: 281-285 - [c44]Ana Freitas, Isabel Praça, Tiago Pinto, Tiago Sousa, Zita A. Vale:
Network Operator Agent: Endowing MASCEM Simulator with Technical Validation. PAAMS (Workshops) 2016: 381-392 - [c43]Gabriel Santos, Tiago Pinto, Zita A. Vale, Isabel Praça, Hugo Morais:
Electricity Markets Ontology to Support MASCEM's Simulations. PAAMS (Workshops) 2016: 393-404 - [c42]Ricardo Faia, Tiago Pinto, Zita A. Vale:
GA optimization technique for portfolio optimization of electricity market participation. SSCI 2016: 1-7 - [c41]Filipe Fernandes, Douglas Alves, Tiago Pinto, Fabricio Takigawa, Rubipiara C. Fernandes, Hugo Morais, Zita A. Vale, Nelson Kagan:
Intelligent energy management using CBR: Brazilian residential consumption scenario. SSCI 2016: 1-8 - [c40]Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale:
Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System. SSCI 2016: 1-5 - [c39]Eugénia Vinagre, Juan Francisco de Paz, Tiago Pinto, Zita A. Vale, Juan M. Corchado, Óscar García:
Intelligent energy forecasting based on the correlation between solar radiation and consumption patterns. SSCI 2016: 1-7 - 2015
- [j6]Tiago Pinto, João Barreto, Isabel Praça, Tiago M. Sousa, Zita A. Vale, E. J. Solteiro Pires:
Six thinking hats: A novel metalearner for intelligent decision support in electricity markets. Decis. Support Syst. 79: 1-11 (2015) - [j5]Hugo Morais, Tiago M. Sousa, Gabriel Santos, Tiago Pinto, Isabel Praça, Zita A. Vale:
Coalition of distributed generation units to Virtual Power Players - a game theory approach. Integr. Comput. Aided Eng. 22(3): 297-309 (2015) - [c38]Tiago Pinto, Gabriel Santos, Luis Marques, Tiago M. Sousa, Isabel Praça, Zita A. Vale, Samuel L. Abreu:
Solar Intensity Characterization Using Data-Mining to Support Solar Forecasting. DCAI 2015: 193-201 - [c37]Ricardo Faia, Tiago Pinto, Zita A. Vale, E. J. Solteiro Pires:
Portfolio Optimization for Electricity Market Participation with Particle Swarm. DEXA Workshops 2015: 62-67 - [c36]Catarina Ribeiro, Tiago Pinto, Marco R. Silva, Sérgio Ramos, Zita A. Vale:
Data Mining Approach for Decision Support in Real Data Based Smart Grid Scenario. DEXA Workshops 2015: 73-77 - [c35]Tiago Pinto, Hugo Silva, Zita A. Vale, Gabriel Santos, Isabel Praça:
Pan-European Electricity Market Simulation Considering the European Power Network Capacities. DEXA Workshops 2015: 91-95 - [c34]Ricardo Faia, Tiago Pinto, Zita A. Vale:
Dynamic Fuzzy Estimation of Contracts Historic Information Using an Automatic Clustering Methodology. PAAMS (Workshops) 2015: 270-282 - [c33]Gabriel Santos, Tiago Pinto, Luis Gomes, Marco R. Silva, Hugo Morais, Zita A. Vale, Isabel Praça:
Agent-Based Smart Grid Market Simulation with Connection to Real Infrastructures. PAAMS (Workshops) 2015: 283-295 - [c32]Francisco Silva, Brigida Teixeira, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale:
Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation. PAAMS 2015: 316-319 - 2014
- [j4]Tiago Pinto, Zita A. Vale, Tiago M. Sousa, Isabel Praça, Gabriel Santos, Hugo Morais:
Adaptive learning in agents behaviour: A framework for electricity markets simulation. Integr. Comput. Aided Eng. 21(4): 399-415 (2014) - [c31]Tiago Pinto, Sérgio Ramos, Tiago M. Sousa, Zita A. Vale:
Short-term wind speed forecasting using Support Vector Machines. CIDUE 2014: 40-46 - [c30]Tiago M. Sousa, Tiago Pinto, Isabel Praça, Zita A. Vale, Hugo Morais:
Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision Support. DCAI 2014: 141-148 - [c29]Ivo F. Pereira, Tiago M. Sousa, Isabel Praça, Ana Freitas, Tiago Pinto, Zita A. Vale, Hugo Morais:
Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets. DCAI 2014: 387-395 - [c28]Tiago Pinto, Gabriel Santos, Zita A. Vale, Isabel Praça, Fernando Lopes, Hugo Algarvio:
Realistic Multi-agent Simulation of Competitive Electricity Markets. DEXA Workshops 2014: 109-113 - [c27]Fernando Lopes, Hugo Algarvio, Jorge A. M. Sousa, Helder Coelho, Tiago Pinto, Gabriel Santos, Zita A. Vale, Isabel Praça:
Multi-agent Simulation of Bilateral Contracting in Competitive Electricity Markets. DEXA Workshops 2014: 131-135 - [c26]Luis Gomes, Tiago Pinto, Pedro Faria, Zita A. Vale:
Distributed intelligent management of microgrids using a multi-agent simulation platform. IEEE IA 2014: 1-7 - [c25]Brigida Teixeira, Francisco Silva, Tiago Pinto, Isabel Praça, Gabriel Santos, Zita A. Vale:
Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets. IEEE IA 2014: 8-15 - [c24]Rafael Pereira, Tiago M. Sousa, Tiago Pinto, Isabel Praça, Zita A. Vale, Hugo Morais:
Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines. PAAMS (Special Sessions) 2014: 9-17 - [c23]Ricardo Fernandes, Gabriel Santos, Isabel Praça, Tiago Pinto, Hugo Morais, Ivo F. Pereira, Zita A. Vale:
Elspot: Nord Pool Spot Integration in MASCEM Electricity Market Simulator. PAAMS (Workshops) 2014: 262-272 - [c22]Tiago Pinto, Zita A. Vale, Tiago M. Sousa, Tiago Sousa, Hugo Morais, Isabel Praça:
Particle Swarm Optimization of Electricity Market Negotiating Players Portfolio. PAAMS (Workshops) 2014: 273-284 - [c21]Ivo F. Pereira, Tiago M. Sousa, Isabel Praça, Ana Freitas, Tiago Pinto, Zita A. Vale, Hugo Morais:
Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations. PAAMS 2014: 371-374 - 2013
- [j3]Tiago Pinto, Isabel Praça, Zita A. Vale, Hugo Morais, Tiago M. Sousa:
Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysis. Integr. Comput. Aided Eng. 20(4): 335-346 (2013) - [c20]Pedro Faria, Tiago Soares, Tiago Pinto, Tiago M. Sousa, João P. Soares, Zita A. Vale, Hugo Morais:
Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approach. CIASG 2013: 51-58 - [c19]Tiago Pinto, Zita A. Vale:
Adaptive Learning in Games: Defining Profiles of Competitor Players. DCAI 2013: 351-359 - [c18]Gabriel Santos, Tiago Pinto, Zita A. Vale, Hugo Morais, Isabel Praça:
Upper Ontology for Multi-Agent Energy Systems' Applications. DCAI 2013: 617-624 - [c17]Tiago Pinto, Tiago M. Sousa, Elisa Barreira, Isabel Praça, Zita A. Vale:
Metalearner Based on Dynamic Neural Network for Strategic Bidding in Electricity Markets. DEXA Workshops 2013: 184-188 - [c16]Nuno Guedes, Tiago Pinto, Zita A. Vale, Tiago M. Sousa, Tiago Sousa:
Electricity Markets Portfolio Optimization Using a Particle Swarm Approach. DEXA Workshops 2013: 199-203 - [c15]João Barreto, Isabel Praça, Tiago Pinto, Tiago M. Sousa, Zita A. Vale:
Adapting meeting tools to agent decision. EAIS 2013: 32-39 - [c14]Tiago Pinto, Daniel E. Lucani, Muriel Médard:
On identifying which intermediate nodes should code in multicast networks. ICC 2013: 3376-3381 - [c13]Gabriel Santos, Isabel Praça, Tiago Pinto, Sérgio Ramos, Zita A. Vale:
Scenarios generation for multi-agent simulation of electricity markets based on intelligent data analysis. IEEE IA 2013: 5-12 - [c12]P. Oliveira, Luis Gomes, Tiago Pinto, Pedro Faria, Zita A. Vale, Hugo Morais:
Load control timescales simulation in a Multi-Agent Smart Grid Platform. ISGT Europe 2013: 1-5 - [c11]Tiago Pinto, Isabel Praça, Gabriel Santos, Zita A. Vale:
Demonstration of the Multi-Agent Simulator of Competitive Electricity Markets. PAAMS 2013: 316-319 - 2012
- [j2]Hugo Morais, Tiago Pinto, Zita A. Vale, Isabel Praça:
Multilevel Negotiation in Smart Grids for VPP Management of Distributed Resources. IEEE Intell. Syst. 27(6): 8-16 (2012) - [c10]Catarina Ribeiro, Tiago Pinto, Zita A. Vale:
Remuneration and Tariffs in the Context of Virtual Power Players. DEXA Workshops 2012: 308-312 - [c9]Gabriel Santos, Tiago Pinto, Hugo Morais, Zita A. Vale, Isabel Praça:
Multi-agent Simulation of Continental, Regional, and Micro Electricity Markets. DEXA Workshops 2012: 331-335 - [c8]Isabel Praça, Tiago M. Sousa, Ana Freitas, Tiago Pinto, Zita A. Vale, Marco R. Silva:
Adaptive Tool for Automatic Data Collection of Real Electricity Markets. DEXA Workshops 2012: 345-349 - [c7]Tiago Sousa, Tiago Pinto, Hugo Morais, Zita A. Vale:
Intelligent electric vehicle heuristic for Energy Resource Management using Simulated Annealing. ISGT Europe 2012: 1-8 - [c6]Tiago Pinto, Tiago M. Sousa, Zita A. Vale, Isabel Praça, Hugo Morais:
Metalearning in ALBidS: A Strategic Bidding System for Electricity Markets. PAAMS (Special Sessions) 2012: 247-256 - [c5]Tiago M. Sousa, Tiago Pinto, Zita A. Vale, Isabel Praça, Hugo Morais:
Adaptive Learning in Multiagent Systems: A Forecasting Methodology Based on Error Analysis. PAAMS (Special Sessions) 2012: 349-357 - 2011
- [j1]Zita A. Vale, Tiago Pinto, Isabel Praça, Hugo Morais:
MASCEM: Electricity Markets Simulation with Strategic Agents. IEEE Intell. Syst. 26(2): 9-17 (2011) - [c4]Tiago Pinto, Zita A. Vale, Fátima Rodrigues, Hugo Morais, Isabel Praça:
Strategic Bidding Methodology for Electricity Markets Using Adaptive Learning. IEA/AIE (2) 2011: 490-500 - [c3]Tiago Pinto, Zita A. Vale, Fátima Rodrigues, Isabel Praça, Hugo Morais:
Multiagent system for adaptive strategy formulation in electricity markets. IEEE IA 2011: 23-30 - [c2]Tiago Pinto, Zita A. Vale, Fátima Rodrigues, Hugo Morais, Isabel Praça:
Bid Definition Method for Electricity Markets Based on an Adaptive Multiagent System. PAAMS 2011: 309-316 - 2010
- [c1]Pedro Sá Silva, António Trigo, João Varajão, Tiago Pinto:
Simulation - Concepts and Applications. WSKS (2) 2010: 429-434
Coauthor Index
aka: Juan Manuel Corchado
aka: Zita Vale
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