| A survey on electric power demand forecasting: future trends in smart grids, microgrids and smart buildings L Hernandez, C Baladron, JM Aguiar, B Carro, AJ Sanchez-Esguevillas, ... IEEE Communications Surveys & Tutorials 16 (3), 1460-1495, 2014 | 345 | 2014 |
| Network traffic classifier with convolutional and recurrent neural networks for Internet of Things M Lopez-Martin, B Carro, A Sanchez-Esguevillas, J Lloret IEEE Access 5, 18042-18050, 2017 | 244 | 2017 |
| A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants L Hernández, C Baladron, JM Aguiar, B Carro, A Sanchez-Esguevillas, ... IEEE Communications Magazine 51 (1), 106-113, 2013 | 198 | 2013 |
| Artificial neural networks for short-term load forecasting in microgrids environment L Hernández, C Baladrón, JM Aguiar, B Carro, A Sánchez-Esguevillas, ... Energy 75, 252-264, 2014 | 155 | 2014 |
| A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework L Hernández, C Baladrón, JM Aguiar, L Calavia, B Carro, ... Sensors 12 (9), 11571-11591, 2012 | 110 | 2012 |
| Short-term load forecasting for microgrids based on artificial neural networks L Hernandez, C Baladrón, JM Aguiar, B Carro, AJ Sanchez-Esguevillas, ... Energies 6 (3), 1385-1408, 2013 | 106 | 2013 |
| Classification and clustering of electricity demand patterns in industrial parks L Hernández, C Baladrón, JM Aguiar, B Carro, A Sánchez-Esguevillas Energies 5 (12), 5215-5228, 2012 | 102 | 2012 |
| Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot M Lopez-Martin, B Carro, A Sanchez-Esguevillas, J Lloret Sensors 17 (9), 1967, 2017 | 86 | 2017 |
| Artificial neural network for short-term load forecasting in distribution systems L Hernández, C Baladrón, JM Aguiar, L Calavia, B Carro, ... Energies 7 (3), 1576-1598, 2014 | 67 | 2014 |
| A semantic autonomous video surveillance system for dense camera networks in smart cities L Calavia, C Baladrón, JM Aguiar, B Carro, A Sánchez-Esguevillas Sensors 12 (8), 10407-10429, 2012 | 58 | 2012 |
| Framework for intelligent service adaptation to user's context in next generation networks C Baladron, JM Aguiar, B Carro, L Calavia, A Cadenas, ... IEEE Communications Magazine 50 (3), 18-25, 2012 | 56 | 2012 |
| Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment L Hernández, C Baladrón, JM Aguiar, L Calavia, B Carro, ... Energies 6 (9), 4489-4507, 2013 | 41 | 2013 |
| Application of deep reinforcement learning to intrusion detection for supervised problems M Lopez-Martin, B Carro, A Sanchez-Esguevillas Expert Systems with Applications 141, 112963, 2020 | 39 | 2020 |
| Intelligent IoT traffic classification using novel search strategy for fast-based-correlation feature selection in industrial environments S Egea, AR Mañez, B Carro, A Sánchez-Esguevillas, J Lloret IEEE Internet of Things Journal 5 (3), 1616-1624, 2017 | 36 | 2017 |
| Ensemble network traffic classification: Algorithm comparison and novel ensemble scheme proposal SE Gómez, BC Martínez, AJ Sánchez-Esguevillas, LH Callejo Computer Networks 127, 68-80, 2017 | 32 | 2017 |
| Deep learning model for multimedia quality of experience prediction based on network flow packets M Lopez-Martin, B Carro, J Lloret, S Egea, A Sanchez-Esguevillas IEEE Communications Magazine 56 (9), 110-117, 2018 | 27 | 2018 |
| An intelligent surveillance platform for large metropolitan areas with dense sensor deployment J Fernández, L Calavia, C Baladrón, JM Aguiar, B Carro, ... Sensors 13 (6), 7414-7442, 2013 | 24 | 2013 |
| Performance study of the application of artificial neural networks to the completion and prediction of data retrieved by underwater sensors C Baladrón, JM Aguiar, L Calavia, B Carro, A Sánchez-Esguevillas, ... Sensors 12 (2), 1468-1481, 2012 | 24 | 2012 |
| The role of metaphors in the development of technologies. The case of the artificial intelligence J Carbonell, A Sánchez-Esguevillas, B Carro Futures 84, 145-153, 2016 | 22 | 2016 |
| Experimental analysis of the input variables’ relevance to forecast next day’s aggregated electric demand using neural networks L Hernández, C Baladrón, JM Aguiar, L Calavia, B Carro, ... Energies 6 (6), 2927-2948, 2013 | 22 | 2013 |
