Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTiago Pinto
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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 - 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, Jose 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 - [d2]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
- [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. Zenodo, 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
- [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]Jose 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
- [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]