| Local energy markets: Paving the path toward fully transactive energy systems F Lezama, J Soares, P Hernandez-Leal, M Kaisers, T Pinto, Z Vale IEEE Transactions on Power Systems 34 (5), 4081-4088, 2018 | 249 | 2018 |
| MASCEM: electricity markets simulation with strategic agents Z Vale, T Pinto, I Praca, H Morais IEEE Intelligent Systems 26 (2), 9-17, 2011 | 184 | 2011 |
| A new approach for multi-agent coalition formation and management in the scope of electricity markets T Pinto, H Morais, P Oliveira, Z Vale, I Praça, C Ramos Energy 36 (8), 5004-5015, 2011 | 93 | 2011 |
| MASGriPa multi-agent smart grid simulation platform P Oliveira, T Pinto, H Morais, Z Vale 2012 IEEE Power and Energy Society General Meeting, 1-8, 2012 | 89 | 2012 |
| Adaptive learning in agents behaviour: A framework for electricity markets simulation T Pinto, Z Vale, TM Sousa, I Praça, G Santos, H Morais Integrated Computer-Aided Engineering 21 (4), 399-415, 2014 | 87 | 2014 |
| MASCEM: Optimizing the performance of a multi-agent system G Santos, T Pinto, I Praça, Z Vale Energy 111, 513-524, 2016 | 82 | 2016 |
| Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling G Santos, T Pinto, H Morais, TM Sousa, IF Pereira, R Fernandes, I Praça, ... Energy Conversion and Management 99, 387-399, 2015 | 82 | 2015 |
| Multilevel negotiation in smart grids for VPP management of distributed resources H Morais, T Pinto, Z Vale, I Praça IEEE Intelligent Systems 27 (6), 8-16, 2012 | 78 | 2012 |
| Stochastic interval-based optimal offering model for residential energy management systems by household owners AS Gazafroudi, J Soares, MAF Ghazvini, T Pinto, Z Vale, JM Corchado International Journal of Electrical Power & Energy Systems 105, 201-219, 2019 | 76 | 2019 |
| 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 | 76 | 2015 |
| Survey on complex optimization and simulation for the new power systems paradigm J Soares, T Pinto, F Lezama, H Morais Complexity 2018, 2018 | 71 | 2018 |
| 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 | 70 | 2018 |
| Support Vector Machines for decision support in electricity markets׳ strategic bidding T Pinto, TM Sousa, I Praça, Z Vale, H Morais Neurocomputing 172, 438-445, 2016 | 70 | 2016 |
| Smart city: A GECAD-BISITE energy management case study B Canizes, T Pinto, J Soares, Z Vale, P Chamoso, D Santos Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection-15th
, 2017 | 69 | 2017 |
| 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 | 68 | 2017 |
| The production of pigments & hydrogen through a Spirogyra sp. biorefinery R Pacheco, AF Ferreira, T Pinto, BP Nobre, D Loureiro, P Moura, ... Energy Conversion and Management 89, 789-797, 2015 | 61 | 2015 |
| 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 | 60 | 2021 |
| Multi-agent based electricity market simulator with VPP: Conceptual and implementation issues T Pinto, ZA Vale, H Morais, I Praça, C Ramos 2009 IEEE Power & Energy Society General Meeting, 1-9, 2009 | 60 | 2009 |
| A hybrid simulated annealing approach to handle energy resource management considering an intensive use of electric vehicles T Sousa, Z Vale, JP Carvalho, T Pinto, H Morais Energy 67, 81-96, 2014 | 59 | 2014 |
| Ensemble learning for electricity consumption forecasting in office buildings T Pinto, I Praça, Z Vale, J Silva Neurocomputing 423, 747-755, 2021 | 56 | 2021 |
Zita ValeIPP/ISEP/GECADPatvirtintas el. paštas Isep.ipp.pt
