Scientific Publications
Ali has authored (or co-authored) the following research papers:
Journals articles
1.
A. Lahouar, M. Hamouda, I. Abari and J. Ben Hadj Slama, "Clamping Diodes Failure Identification Based on the Discrete Wavelet Decomposition of the Magnetic Near-Field," in IET Power Electronics, 2019.
2.
I. Abari, A. Lahouar, M. Hamouda, J. Ben Hadj Slama and K. Al-Haddad, "Fault Detection Methods for Three-Level NPC Inverter based on DC Bus Electromagnetic Signatures," in IEEE Transactions on Industrial Electronics, vol. 65, no. 7, pp. 5224-5236, July 2018.
3.
A. Lahouar, J. Ben Hadj Slama, Hour-ahead wind power forecast based on random forests, Renewable Energy, Volume 109, August 2017, Pages 529-541.
4.
A. Lahouar, J. Ben Hadj Slama, Day-ahead load forecast using random forest and expert input selection, Energy Conversion and Management, Volume 103, October 2015, Pages 1040-1051.
Proceedings Papers
1.
A. Lahouar, "Gaussian Process Based Method for Point and Probabilistic Short-Term Wind Power Forecast," 2018 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), Hammamet, Tunisia, 2018, pp. 1-12.
2.
A. Lahouar, A. Mejri and J. B. H. Slama, "Probabilistic day-ahead load forecast using quantile regression forests," 2017 International Conference on Engineering & MIS (ICEMIS), Monastir, Tunisia, 2017, pp. 1-6.
3.
A. Lahouar, A. Mejri and J. Ben Hadj Slama, "Importance based selection method for day-ahead photovoltaic power forecast using random forests," 2017 International Conference on Green Energy Conversion Systems (GECS), Hammamet, Tunisia, 2017, pp. 1-7.
4.
A. Lahouar and J. B. H. Slama, "Comparative study of learning machine predictors for half- hour and day-ahead electricity price forecast in deregulated markets," 2016 7th International Renewable Energy Congress (IREC), Hammamet, Tunisia, 2016, pp. 1-6.
5.
A. Lahouar and J. Ben Hadj Slama, "Random forests model for one day ahead load forecasting," Renewable Energy Congress (IREC), 2015 6th International, Sousse, 2015, pp. 1-6.
6.
A. Lahouar and J. Ben Hadj Slama, "Wind speed and direction prediction for wind farms using support vector regression," Renewable Energy Congress (IREC), 2014 5th International, Hammamet, 2014, pp. 1-6.