Tiago Pinto
Cited by
Cited by
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
MASCEM: electricity markets simulation with strategic agents
Z Vale, T Pinto, I Praca, H Morais
IEEE Intelligent Systems 26 (2), 9-17, 2011
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
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
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
MASCEM: Optimizing the performance of a multi-agent system
G Santos, T Pinto, I Praça, Z Vale
Energy 111, 513-524, 2016
MASGriP—a 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
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
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
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
Survey on complex optimization and simulation for the new power systems paradigm
J Soares, T Pinto, F Lezama, H Morais
Complexity 2018 (1), 2340628, 2018
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
Ensemble learning for electricity consumption forecasting in office buildings
T Pinto, I Praça, Z Vale, J Silva
Neurocomputing 423, 747-755, 2021
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
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
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
Smart city: A GECAD-BISITE energy management case study
B Canizes, T Pinto, J Soares, Z Vale, P Chamoso, D Santos
International Conference on Practical Applications of Agents and Multi-Agent …, 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
Electric vehicles’ user charging behaviour simulator for a smart city
B Canizes, J Soares, A Costa, T Pinto, F Lezama, P Novais, Z Vale
Energies 12 (8), 1470, 2019
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
The system can't perform the operation now. Try again later.
Articles 1–20