| Cátia Silva, Pedro Faria and Zita Vale, “Using Supervised Learning to Assign New Consumers to Demand Response Programs According to the Context,” 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2022, pp. 1-6, doi: 10.1109/EEEIC/ICPSEurope54979.2022.9854646. |
| Daniel Ramos, Pedro Faria, Luís Gomes and Zita Vale, “Energy Forecast in Buildings Addressing Computation Consumption in a Green Computing Approach,” 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2022, pp. 1-6, doi: 10.1109/EEEIC/ICPSEurope54979.2022.9854723. |
| Ubaid ur Rehman, Pedro Faria, Luís Gomes and Zita Vale, “Artificial Neural Network Based Efficient Maximum Power Point Tracking for Photovoltaic Systems,” 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2022, pp. 1-6, doi: 10.1109/EEEIC/ICPSEurope54979.2022.9854613. |
| Bruno Ribeiro, Helder Pereira, Luis Gomes and Zita Vale, “Python-based Ecosystem for Agent Communities Simulation”, 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), SOCO 2022, Lecture Notes in Networks and Systems, vol 531. Springer, Cham., doi: 10.1007/978-3-031-18050-7_7. |
| António Ramos, Brígida Teixeira, Gabriel Santos, Tiago Pinto and Zita Vale, “Explainable artificial intelligence (XAI) techniques for energy consumption,” The 9th International Conference on Energy and Environment Research (ICEER), 2022, (To be published). |
| Leonor Carvalhais, Brígida Teixeira, Gabriel Santos and Zita Vale, “A framework proposal for explainable AI-based building energy management,” The 9th International Conference on Energy and Environment Research (ICEER), 2022, (To be published). |
| Cátia Silva, Pedro Faria, and Zita Vale, “Demand Response Event Participants Selection Using Classification Methods,” IFAC-PapersOnLine, vol. 56, no. 2, pp. 10917–10922, Jan. 2023, doi: 10.1016/j.ifacol.2023.10.776 |
| Cátia Silva, Pedro Faria, and Zita Vale, “Enhance Demand Response Participants Performance Using a Personalized Recommendation Method,” in 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Jun. 2023, pp. 1–6. doi: 10.1109/EEEIC/ICPSEurope57605.2023.1019465 |
| Gabriel Santos, Brígida Teixeira, Tiago Pinto, and Zita Vale, “Automated energy management and learning,” in 2023 IEEE Conference on Artificial Intelligence (CAI), Jun. 2023, pp. 69–70. doi: 10.1109/CAI54212.2023.00037 |
| Brígida Teixeira, Leonor Carvalhais, Tiago Pinto, and Zita Vale, “Application of XAI-based framework for PV Energy Generation Forecasting,” in 2023 IEEE Conference on Artificial Intelligence (CAI), Jun. 2023, pp. 67–68. doi: 10.1109/CAI54212.2023.00036 |
| João Carvalho, Tiago Pinto, Juan M. Home-Ortiz, Brígida Teixeira, Zita Vale, and Ruben Romero, “Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation,” in Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference, R. Mehmood, V. Alves, I. Praça, J. Wikarek, J. Parra-Domínguez, R. Loukanova, I. de Miguel, T. Pinto, R. Nunes, and M. Ricca, Eds., Cham: Springer Nature Switzerland, 2023, pp. 245–255. doi: 10.1007/978-3-031-38318-2_25 |
| Brígida Teixeira, Ricardo Faia, Tiago Pinto, and Zita Vale, “Study of Forecasting Methods’ Impact in Wholesale Electricity Market Participation,” in Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference, R. Mehmood, V. Alves, I. Praça, J. Wikarek, J. Parra-Domínguez, R. Loukanova, I. de Miguel, T. Pinto, R. Nunes, and M. Ricca, Eds., Cham: Springer Nature Switzerland, 2023, pp. 267–276. doi: 10.1007/978-3-031-38318-2_27 |
| Cátia Silva, Pedro Faria, and Zita Vale, “Local Energy Market Competition Approach for Demand Response Events,” in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Oct. 2023, pp. 1–5. doi: 10.1109/ISGTEUROPE56780.2023.10407496 |
| Ruben Barreto, Luis Gomes, Pedro Faria, and Zita Vale, “Demand Response-based Energy Management Model for Energy Communities considering Data Privacy of the Members,” in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Oct. 2023, pp. 1–5. doi: 10.1109/ISGTEUROPE56780.2023.10407921 |
| Daniel Ramos, Pedro Faria, and Zita Vale, “Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption,” in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Oct. 2023, pp. 1–5. doi: 10.1109/ISGTEUROPE56780.2023.10408289 |
