SELECTED PUBLICATIONS

Journal Articles

• M. Massaoudi, S. S. Refaat, I. Chihi, M. Trabelsi, F. S. Oueslati, H. Abu-Rub, A Novel Stacked Generalization Ensemble-Based Hybrid LGBM-XGB-MLP Model for Short-Term Load Forecasting, Energy 214 (2021) 118874

• M. Massaoudi, I. Chihi, L. Sidhom, M. Trabelsi, S. S. Refaat, H. Abu-Rub, F. S. Oueslati, A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting, IEEE Access Vol.8, 2021

• M. Massaoudi, S. S. Refaat, H. Abu-Rub, I. Chihi, F. S. Oueslati, PLS-CNN-BiLSTM: An end-to-end algorithm-based Savitzky–Golay smoothing and evolution strategy for load forecasting, Energies 13 (2020)

• M. Massaoudi, I. Chihi, L. Sidhom, M. Trabelsi, S. S. Refaat, F. S. Oueslati, Enhanced Random Forest Model for Robust Short-Term Photovoltaic Power Forecasting Using Weather Measurements, Energies 13 (2021)

• M. Massaoudi, H. Abu-Rub, S. S. Refaat, I. Chihi, F. S. Oueslati, Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects, IEEE Access, 2021

• M. Massaoudi, H. Abu-Rub, S. S. Refaat, I. Chihi, F. S. Oueslati, Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review, IEEE Access, 2021

• M. Massaoudi, I. Chihi, L. Sidhom, M. Trabelsi, S. S. Refaat, F. S. Oueslati, Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting. arXiv preprint arXiv:1910.10065

Book Chapters

• M. Massaoudi, S. S. Refaat, H. Abu-Rub, On the Pivotal Role of Artificial Intelligence Towards the Evolution of Smart Grids: Review of Advanced Methodologies and Applications, Weily book publisher, 2021

Conference Proceedings

• M. Massaoudi, H. Abu-Rub, S. S. Refaat, I. Chihi, F. S. Oueslati, Accurate Smart-Grid Stability Forecasting Based on Deep Learning: Point and Interval Estimation Method, IEEE Kansas Power and Energy Conference 2021 (KPEC) (pp. 1-6). IEEE

• M. Massaoudi, H. Abu-Rub, S. S. Refaat, I. Chihi, F. S. Oueslati, An Effective Ensemble Learning Approach-Based Grid Stability Assessment and Classification, IEEE Kansas Power and Energy Conference 2021 (KPEC) (pp. 1-6). IEEE

• M. Massaoudi, S. S. Refaat, H. Abu-Rub, I. Chihi, Mohamed Trabelsi, F. S. Oueslati, Short-Term Electric Load Forecasting Based on Data-Driven Deep Learning Techniques. IECON 2020-45^th Annual Conference of the IEEE Industrial Electronics Society

• M. Massaoudi, A. Darwish, S. S Refaat, H. Abu-Rub, & H. A. Toliyat, UHF Partial Discharge Localization in Gas-Insulated Switchgears: Gradient Boosting Based Approach. IEEE Kansas Power and Energy Conference (KPEC) 2020 (pp. 1-5). IEEE

• M. Massaoudi, S. S. Refaat, H. Abu-Rub, I. Chihi, F. S. Oueslati, A Hybrid Bayesian Ridge Regression CWT-Catboost Model for PV Power Forecasting. IEEE Kansas Power and Energy Conference 2020 (KPEC) (pp. 1-5). IEEE

• M. Massaoudi, I. Chihi, L. Sidhom, M. Trabelsi, S. S. Refaat, F. S. Oueslati, Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data. IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society (Vol. 1, pp. 2402-2407). IEEE

• M. Massaoudi, I. Chihi, L. Sidhom, M. Trabelsi, S. S. Refaat, F. S. Oueslati, Performance Evaluation of Deep Recurrent Neural Networks Architectures: Application to PV Power Forecasting. 2nd International Conference on Smart Grid and Renewable Energy 2019 (SGRE) (pp. 1-6). IEEE