| On-line learning of indoor temperature forecasting models towards energy efficiency F Zamora-Martinez, P Romeu, P Botella-Rocamora, J Pardo Energy and Buildings 83, 162-172, 2014 | 170 | 2014 |
| Time-series forecasting of indoor temperature using pre-trained deep neural networks P Romeu, F Zamora-Martínez, P Botella-Rocamora, J Pardo Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013 | 90 | 2013 |
| Towards energy efficiency: Forecasting indoor temperature via multivariate analysis F Zamora-Martínez, P Romeu, P Botella-Rocamora, J Pardo Energies 6 (9), 4639-4659, 2013 | 51 | 2013 |
| Stacked denoising auto-encoders for short-term time series forecasting P Romeu, F Zamora-Martínez, P Botella-Rocamora, J Pardo Artificial Neural Networks: Methods and Applications in Bio …, 2015 | 27 | 2015 |
| Some empirical evaluations of a temperature forecasting module based on artificial neural networks for a domotic home environment F Zamora-Martinez, P Romeu, J Pardo, D Tormo International Conference on Knowledge Discovery and Information Retrieval 2 …, 2012 | 7 | 2012 |
| Alaíz, Carlos M. 349 Alonso-Weber, Juan M. 435 Angelov, Plamen 373 Barbero, Álvaro 349 S Berlemont, P Botella-Rocamora, J Cabessa, A Chernodub, K Cho, ... Artificial Neural Networks: Methods and Applications in Bio …, 2014 | | 2014 |
| Alaíz, Carlos M. 349 Alonso-Weber, Juan M. 435 P Angelov, Á Barbero, S Berlemont, P Botella-Rocamora, J Cabessa, ... Artificial Neural Networks, 487, 0 | | |
| Energy efficiency through an on-line learning approach for forecasting of indoor temperature F Zamora-Martínez, P Romeu, P Botella-Rocamora, J Pardo | | |
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