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Brígida Teixeira
Brígida Teixeira
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Title
Cited by
Cited by
Year
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
432020
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
382018
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
322016
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
252016
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
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
132016
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
122020
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
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
102018
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
82021
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
82017
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
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
52015
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
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
Application of XAI-based framework for PV Energy Generation Forecasting
B Teixeira, L Carvalhais, T Pinto, Z Vale
2023 IEEE Conference on Artificial Intelligence (CAI), 67-68, 2023
12023
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