Hour-ahead wind power forecast based on random forests A Lahouar, JBH Slama Renewable energy 109, 529-541, 2017 | 347 | 2017 |
Day-ahead load forecast using random forest and expert input selection A Lahouar, JBH Slama Energy Conversion and Management 103, 1040-1051, 2015 | 332 | 2015 |
Fault detection methods for three-level NPC inverter based on DC-bus electromagnetic signatures I Abari, A Lahouar, M Hamouda, JBH Slama, K Al-Haddad IEEE Transactions on Industrial Electronics 65 (7), 5224-5236, 2017 | 98 | 2017 |
Random forests model for one day ahead load forecasting A Lahouar, JBH Slama Irec2015 the sixth international renewable energy congress, 1-6, 2015 | 79 | 2015 |
Importance based selection method for day-ahead photovoltaic power forecast using random forests A Lahouar, A Mejri, JBH Slama 2017 International Conference on Green Energy Conversion Systems (GECS), 1-7, 2017 | 31 | 2017 |
Wind speed and direction prediction for wind farms using support vector regression A Lahouar, JBH Slama 2014 5th international renewable energy congress (IREC), 1-6, 2014 | 18 | 2014 |
Comparative study of learning machine predictors for half-hour and day-ahead electricity price forecast in deregulated markets A Lahouar, JBH Slama 2016 7th International Renewable Energy Congress (IREC), 1-6, 2016 | 7 | 2016 |
Clamping diodes failure identification based on the discrete wavelet decomposition of the magnetic near‐field A Lahouar, M Hamouda, I Abari, JBH Slama IET Power Electronics 12 (5), 1141-1148, 2019 | 6 | 2019 |
Probabilistic day-ahead load forecast using quantile regression forests A Lahouar, A Mejri, JBH Slama 2017 International Conference on Engineering & MIS (ICEMIS), 1-6, 2017 | 3 | 2017 |
Gaussian Process Based Method for Point and Probabilistic Short-Term Wind Power Forecast A Lahouar Proceedings of the 8th International Conference on Sciences of Electronics …, 2020 | 2 | 2020 |