Gradient boosting feature selection with machine learning classifiers for intrusion detection on power grids D Upadhyay, J Manero, M Zaman, S Sampalli IEEE Transactions on Network and Service Management 18 (1), 1104-1116, 2020 | 95 | 2020 |
Intrusion detection in SCADA based power grids: Recursive feature elimination model with majority vote ensemble algorithm D Upadhyay, J Manero, M Zaman, S Sampalli IEEE Transactions on Network Science and Engineering 8 (3), 2559-2574, 2021 | 60 | 2021 |
Wind energy forecasting with neural networks: A literature review J Manero, J Béjar, U Cortés Computación y Sistemas 22 (4), 1085-1098, 2018 | 34 | 2018 |
“Dust in the wind...”, deep learning application to wind energy time series forecasting J Manero, J Béjar, U Cortés Energies 12 (12), 2385, 2019 | 30 | 2019 |
Knowledge engineering for a document retrieval system RL de Mantaras, U Cortés, J Manero, E Plaza Fuzzy Sets and Systems 38 (2), 223-240, 1990 | 17 | 1990 |
Predicting wind energy generation with recurrent neural networks J Manero, J Béjar, U Cortés International Conference on Intelligent Data Engineering and Automated …, 2018 | 8 | 2018 |
Deep Learning is blowing in the wind. Deep models applied to wind prediction at turbine level J Manero, J Béjar, U Cortés Journal of Physics: Conference Series 1222 (1), 012037, 2019 | 6 | 2019 |
Comparative analysis of tabular generative adversarial network (GAN) models for generation and validation of power grid synthetic datasets D Upadhyay, Q Luo, J Manero, M Zaman, S Sampalli IEEE EUROCON 2023-20th International Conference on Smart Technologies, 677-682, 2023 | 2 | 2023 |
Go with the flow: Recurrent networks for wind time series multi-step forecasting J Manero, J Béjar, U Cortés Artificial Intelligence Research and Development, 79-83, 2018 | 2 | 2018 |
Forecastability measures that describe the complexity of a site for deep learning wind predictions J Manero Font, J Béjar Alonso Supercomputing frontiers and innovations 8 (1), 8-27, 2021 | 1 | 2021 |
Deep learning architectures applied to wind time series multi-step forecasting J Manero Font Universitat Politècnica de Catalunya, 2020 | 1 | 2020 |
Intrusion detection in SCADA-based power grids: feature selection using gradient boosting scoring model with decision tree classifiers D Upadhyay, J Manero, M Zaman, S Sampalli Natural Sciences and Engineering Research Council (NSERC), Canada, 2020 | 1 | 2020 |
Wind Prediction Using Deep Learning and High Performance Computing J Manero, J Béjar, U Cortés Latin American High Performance Computing Conference, 193-207, 2021 | | 2021 |
RETBOO, consultas booleanas J Manero | | 1985 |