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Application ontology for multi-agent and web-services’ co-simulation in power and energy systems
B Teixeira, G Santos, T Pinto, Z Vale, JM Corchado
IEEE Access 8, 81129-81141, 2020
422020
Multi-agent decision support tool to enable interoperability among heterogeneous energy systems
B Teixeira, T Pinto, F Silva, G Santos, I Praça, Z Vale
Applied Sciences 8 (3), 328, 2018
352018
Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting
A Jozi, T Pinto, I Praça, F Silva, B Teixeira, Z Vale
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence …, 2019
342019
Generation of realistic scenarios for multi-agent simulation of electricity markets
F Silva, B Teixeira, T Pinto, G Santos, Z Vale, I Praça
Energy 116, 128-139, 2016
312016
Energy consumption forecasting based on hybrid neural fuzzy inference system
A Jozi, T Pinto, I Praça, F Silva, B Teixeira, Z Vale
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-5, 2016
242016
Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets
B Teixeira, F Silva, T Pinto, I Praça, G Santos, Z Vale
2014 IEEE Symposium on Intelligent Agents (IA), 8-15, 2014
242014
Use of sensors and analyzers data for load forecasting: A two stage approach
D Ramos, B Teixeira, P Faria, L Gomes, O Abrishambaf, Z Vale
Sensors 20 (12), 3524, 2020
122020
Using diverse sensors in load forecasting in an office building to support energy management
D Ramos, B Teixeira, P Faria, L Gomes, O Abrishambaf, Z Vale
Energy Reports 6, 182-187, 2020
112020
Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature
A Jozi, T Pinto, I Praça, F Silva, B Teixeira, Z Vale
2016 Global Information Infrastructure and Networking Symposium (GIIS), 1-6, 2016
112016
TOOCC: Enabling heterogeneous systems interoperability in the study of energy systems
B Teixeira, F Silva, T Pinto, G Santos, I Praça, Z Vale
2017 IEEE Power & Energy Society General Meeting, 1-5, 2017
102017
Upgrading BRICKS—The Context-Aware Semantic Rule-Based System for Intelligent Building Energy and Security Management
G Santos, T Pinto, Z Vale, R Carvalho, B Teixeira, C Ramos
Energies 14 (15), 4541, 2021
72021
Power systems simulation using ontologies to enable the interoperability of multi-agent systems
G Santos, F Silva, B Teixeira, Z Vale, T Pinto
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
72018
Application of a hybrid neural fuzzy inference system to forecast solar intensity
F Silva, B Teixeira, N Teixeira, T Pinto, I Praça, Z Vale
2016 27th international workshop on database and expert systems applications …, 2016
72016
Energy Consumption Forecasting using Genetic fuzzy rule-based systems based on MOGUL Learning Methodology
A Jozi, T Pinto, I Praça, F Silva, B Teixeira, Z Vale
2017 IEEE Manchester PowerTech, 1-5, 2017
62017
Pv generation forecasting model for energy management in buildings
B Teixeira, T Pinto, P Faria, Z Vale
EPIA Conference on Artificial Intelligence, 176-182, 2021
32021
Decision support system for the negotiation of bilateral contracts in electricity markets
F Silva, B Teixeira, T Pinto, I Praça, G Marreiros, Z Vale
Ambient Intelligence–Software and Applications–8th International Symposium …, 2017
32017
Demonstration of realistic multi-agent scenario generator for electricity markets simulation
F Silva, B Teixeira, T Pinto, G Santos, I Praça, Z Vale
International Conference on Practical Applications of Agents and Multi-Agent …, 2015
32015
Using diverse sensors in load forecasting in an office building to support energy management [J]
R Daniel, T Brigida, F Pedro, G Luis, A Omid, V Zita
Energy Reports 6 (S8), 2020
22020
Study of Forecasting Methods’ Impact in Wholesale Electricity Market Participation
B Teixeira, R Faia, T Pinto, Z Vale
International Symposium on Distributed Computing and Artificial Intelligence …, 2023
12023
Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation
J Carvalho, T Pinto, JM Home-Ortiz, B Teixeira, Z Vale, R Romero
International Symposium on Distributed Computing and Artificial Intelligence …, 2023
2023
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