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Ali Lahouar
Ali Lahouar
PhD and Researcher, at National Engineering School of Sousse (ENISO), University of Sousse, Tunisia
Verified email at eniso.rnu.tn - Homepage
Title
Cited by
Cited by
Year
Hour-ahead wind power forecast based on random forests
A Lahouar, JBH Slama
Renewable energy 109, 529-541, 2017
3352017
Day-ahead load forecast using random forest and expert input selection
A Lahouar, JBH Slama
Energy Conversion and Management 103, 1040-1051, 2015
3172015
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
962017
Random forests model for one day ahead load forecasting
A Lahouar, JBH Slama
Irec2015 the sixth international renewable energy congress, 1-6, 2015
712015
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
302017
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
202014
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
72016
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
62019
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
32017
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
22020
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