| 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 | 44 | 2020 |
| 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 | 39 | 2018 |
| 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 | 35 | 2019 |
| 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 | 33 | 2016 |
| 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 | 25 | 2016 |
| 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 | 24 | 2014 |
| 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 | 14 | 2020 |
| 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 | 14 | 2016 |
| 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 | 12 | 2020 |
| 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 | 10 | 2018 |
| 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 | 10 | 2017 |
| 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 | 9 | 2017 |
| 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 | 8 | 2021 |
| 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 | 7 | 2016 |
| 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 | 5 | 2015 |
| 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 | 3 | 2021 |
| 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 | 3 | 2017 |
| 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 | 2 | 2023 |
| 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 | 2 | 2020 |
| 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 | 1 | 2023 |
Tiago PintoUTAD / INESC-TECVerified email at utad.pt
