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Jaume Manero
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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
862020
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
572021
Wind energy forecasting with neural networks: A literature review
J Manero, J Béjar, U Cortés
Computación y Sistemas 22 (4), 1085-1098, 2018
342018
“Dust in the wind...”, deep learning application to wind energy time series forecasting
J Manero, J Béjar, U Cortés
Energies 12 (12), 2385, 2019
302019
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
161990
Predicting wind energy generation with recurrent neural networks
J Manero, J Béjar, U Cortés
International Conference on Intelligent Data Engineering and Automated …, 2018
82018
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
62019
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
22018
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
12023
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
12021
Deep learning architectures applied to wind time series multi-step forecasting
J Manero Font
Universitat Politècnica de Catalunya, 2020
12020
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
12020
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
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