| A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting M Massaoudi, SS Refaat, I Chihi, M Trabelsi, FS Oueslati, H Abu-Rub Energy 214, 118874, 2021 | 348 | 2021 |
| Deep learning in smart grid technology: A review of recent advancements and future prospects M Massaoudi, H Abu-Rub, SS Refaat, I Chihi, FS Oueslati IEEE Access 9, 54558-54578, 2021 | 183 | 2021 |
| An effective hybrid NARX-LSTM model for point and interval PV power forecasting M Massaoudi, I Chihi, L Sidhom, M Trabelsi, SS Refaat, H Abu-Rub, ... Ieee Access 9, 36571-36588, 2021 | 115 | 2021 |
| Convergence of photovoltaic power forecasting and deep learning: State-of-art review M Massaoudi, I Chihi, H Abu-Rub, SS Refaat, FS Oueslati Ieee Access 9, 136593-136615, 2021 | 67 | 2021 |
| PLS-CNN-BiLSTM: An end-to-end algorithm-based Savitzky–Golay smoothing and evolution strategy for load forecasting M Massaoudi, S S. Refaat, H Abu-Rub, I Chihi, FS Oueslati Energies 13 (20), 5464, 2020 | 56 | 2020 |
| Heterogeneous nanofluids: natural convection heat transfer enhancement FS Oueslati, R Bennacer Nanoscale research letters 6, 1-11, 2011 | 55 | 2011 |
| Accurate smart-grid stability forecasting based on deep learning: Point and interval estimation method M Massaoudi, H Abu-Rub, SS Refaat, I Chihi, FS Oueslati 2021 IEEE Kansas Power and Energy Conference (KPEC), 1-6, 2021 | 35 | 2021 |
| Enhanced random forest model for robust short-term photovoltaic power forecasting using weather measurements M Massaoudi, I Chihi, L Sidhom, M Trabelsi, SS Refaat, FS Oueslati Energies 14 (13), 3992, 2021 | 34 | 2021 |
| Enhanced deep belief network based on ensemble learning and tree-structured of Parzen estimators: An optimal photovoltaic power forecasting method M Massaoudi, H Abu-Rub, SS Refaat, M Trabelsi, I Chihi, FS Oueslati IEEE Access 9, 150330-150344, 2021 | 32 | 2021 |
| Performance evaluation of deep recurrent neural networks architectures: Application to PV power forecasting M Massaoudi, I Chihi, L Sidhom, M Trabelsi, SS Refaat, FS Oueslati 2019 2nd international conference on smart grid and renewable energy (SGRE), 1-6, 2019 | 32 | 2019 |
| Short-term electric load forecasting based on data-driven deep learning techniques M Massaoudi, SS Refaat, I Chihi, M Trabelsi, H Abu-Rub, FS Oueslati IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics …, 2020 | 27 | 2020 |
| A novel approach based deep RNN using hybrid NARX-LSTM model for solar power forecasting M Massaoudi, I Chihi, L Sidhom, M Trabelsi, SS Refaat, FS Oueslati arXiv preprint arXiv:1910.10064, 2019 | 21 | 2019 |
| An effective ensemble learning approach-based grid stability assessment and classification M Massaoudi, H Abu-Rub, SS Refaat, I Chihi, FS Oueslati 2021 IEEE Kansas Power and Energy Conference (KPEC), 1-6, 2021 | 20 | 2021 |
| Three-dimensional simulation of natural convection in cubic cavity partially filled with porous media F Habbachi, FS Oueslati, R Bennacer, M Ganaoui, A Elcafsi Energy Procedia 139, 617-623, 2017 | 19 | 2017 |
| Analytical and numerical solution to the convection problem in a shallow cavity filled with two immiscible superposed fluids FS Oueslati, R Bennacer International Journal of Thermal Sciences 90, 303-310, 2015 | 16 | 2015 |
| Medium and long-term parametric temperature forecasting using real meteorological data M Massaoudi, I Chihi, L Sidhom, M Trabelsi, FS Oueslati IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019 | 13 | 2019 |
| Competition between the lid driven and the natural convection of nanofluids taking into consideration the Soret effect FS Oueslati, R Bennacer, M El Ganaoui, A El Cafsi International Journal of Heat and Mass Transfer 114, 1341-1349, 2017 | 13 | 2017 |
| Thermosolutal convection during melting in a porous medium saturated with aqueous solution FS Oueslati, R Bennacer, H Sammouda, A Belghith Numerical Heat Transfer, Part A: Applications 54 (3), 315-330, 2008 | 11 | 2008 |
| An effective hybrid symbolic regression–deep multilayer perceptron technique for PV power forecasting M Trabelsi, M Massaoudi, I Chihi, L Sidhom, SS Refaat, T Huang, ... Energies 15 (23), 9008, 2022 | 7 | 2022 |
| PV power forecasting using weighted features for enhanced ensemble method M Massaoudi, I Chihi, L Sidhom, M Trabelsi, SS Refaat, FS Oueslati arXiv preprint arXiv:1910.09404, 2019 | 6 | 2019 |
