About me

Ali Lahouar is a PhD and researcher in electrical engineering. He has been working in the Tunisian Company of Electricity and Gas (STEG) since 2018. Between 2013 and 2017, he was working within the National Engineering School of Sousse (ENISo) in Tunisia, teaching automatic control, programmable logic controllers and microprocessors. His research interests include smart grids, penetration levels of renewable energy, electrical load/price forecast, wind/PV power prediction, demand side management, and fault diagnosis of grid-connected power converters. He is a member of the Laboratory of Advanced Technology and Intelligent Systems (LATIS) since 2013 (previously known as SAGE).

Interests

Ali Lahouar is interested in forecast methods within smart grids; intelligent prediction models and possible optimizations. In particular, he is working on load and power forecasters based on random forests and quantile regression forests. He is also interested in switch fault classification and diagnosis of power converters. Its main contribution involves processing the magnetic near-field emitted by converters. The wavelet decomposition is used as processing tool in order to detect and classify faults.