| Machine Learning and Deep Learning Models Applied to Photovoltaic Production Forecasting M Cordeiro-Costas, D Villanueva, P Eguía-Oller, E Granada-Álvarez Applied Sciences 12 (17), 8769, 2022 | 17 | 2022 |
| Load Forecasting with Machine Learning and Deep Learning Methods M Cordeiro-Costas, D Villanueva, P Eguía-Oller, M Martínez-Comesaña, ... Applied Sciences 13 (13), 7933, 2023 | 14 | 2023 |
| Effects of Adding Batteries in Household Installations: Savings, Efficiency and Emissions D Villanueva, M Cordeiro, A Feijóo, E Míguez, A Fernández Applied Sciences 10 (17), 5891, 2020 | 9 | 2020 |
| Intelligent energy storage management trade-off system applied to Deep Learning predictions M Cordeiro-Costas, D Villanueva, P Eguía-Oller, E Granada-Álvarez Journal of Energy Storage 61, 106784, 2023 | 6 | 2023 |
| Optimization of the Electrical Demand of an Existing Building with Storage Management through Machine Learning Techniques M Cordeiro-Costas, D Villanueva, P Eguía-Oller Applied Sciences 11 (17), 7991, 2021 | 6 | 2021 |
| Simulation of Wind Speeds with Spatio-Temporal Correlation M Cordeiro-Costas, D Villanueva, AE Feijóo-Lorenzo, J Martínez-Torres Applied Sciences 11 (8), 3355, 2021 | 5 | 2021 |
| Towards DC Energy Efficient Homes D Villanueva, M Cordeiro-Costas, AE Feijóo-Lorenzo, A Fernández-Otero, ... Applied Sciences 11 (13), 6005, 2021 | 2 | 2021 |
| Optimizing Heat Pump Operation of Residential Buildings Using Calibrated RC and Deep Learning Models and Electricity Costs Forecasts P Hernandez-Cruz, C Escudero-Revilla, M Cordeiro-Costas, ... International Sustainable Energy Conference-Proceedings 1, 2024 | | 2024 |
| Modeling and optimization using machine learning techniques in buildings with renewable production, storage and electrical consumption M Cordeiro Costas Universidade de Vigo, 2023 | | 2023 |
