Fakhreddine S. Oueslati

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 9

Top Topics

Load Forecasting

Symbolic Regression

Top Venues

Publications

Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Shady S. Refaat, Haitham Abu-Rub, Fakhreddine S. Oueslati
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting. IEEE Access 9 (2021)
Mohamed Massaoudi, Ines Chihi, Haitham Abu-Rub, Shady S. Refaat, Fakhreddine S. Oueslati
Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review. IEEE Access 9 (2021)
Mohamed Massaoudi, Haitham Abu-Rub, Shady S. Refaat, Mohamed Trabelsi, Ines Chihi, Fakhreddine S. Oueslati
Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method. IEEE Access 9 (2021)
Mohamed Massaoudi, Haitham Abu-Rub, Shady S. Refaat, Ines Chihi, Fakhreddine S. Oueslati
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects. IEEE Access 9 (2021)
Mohamed Massaoudi, Shady S. Refaat, Ines Chihi, Mohamed Trabelsi, Haitham Abu-Rub, Fakhreddine S. Oueslati
Short-Term Electric Load Forecasting Based on Data-Driven Deep Learning Techniques. IECON (2020)
Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Shady S. Refaat, Fakhreddine S. Oueslati
PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method. CoRR (2019)
Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Fakhreddine S. Oueslati
Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data. IECON (2019)
Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Shady S. Refaat, Fakhreddine S. Oueslati
A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting. CoRR (2019)
Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Shady S. Refaat, Fakhreddine S. Oueslati
Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting. CoRR (2019)