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 | 336 | 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 | 175 | 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 | 112 | 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 | 68 | 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 |
A hybrid Bayesian ridge regression-CWT-catboost model for PV power forecasting M Massaoudi, SS Refaat, H Abu-Rub, I Chihi, FS Wesleti 2020 IEEE kansas power and energy conference (KPEC), 1-5, 2020 | 40 | 2020 |
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 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 |
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 | 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 | 31 | 2019 |
Analysis of handwriting velocity to identify handwriting process from electromyographic signals I Chihi, A Abdelkrim, M Benrejeb American Journal of Applied Sciences 9 (10), 1742, 2012 | 29 | 2012 |
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 |
Fault diagnosis and self-healing for smart manufacturing: a review J Aldrini, I Chihi, L Sidhom Journal of Intelligent Manufacturing 35 (6), 2441-2473, 2024 | 26 | 2024 |
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 |
Time-frequency distributions of heart sound signals: A comparative study using convolutional neural networks X Bao, Y Xu, HK Lam, M Trabelsi, I Chihi, L Sidhom, EN Kamavuako Biomedical Engineering Advances 5, 100093, 2023 | 19 | 2023 |
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 | 19 | 2021 |
Multi-model approach to characterize human handwriting motion I Chihi, A Abdelkrim, M Benrejeb Biological cybernetics 110, 17-30, 2016 | 19 | 2016 |
Systematic literature review and benchmarking for photovoltaic MPPT techniques H Abidi, L Sidhom, I Chihi Energies 16 (8), 3509, 2023 | 16 | 2023 |
Parametric identification of handwriting system based on RLS algorithm I Chihi, C Ghorbel, A Abdelkrim, M Benrejeb 2011 11th International Conference on Control, Automation and Systems, 1564-1569, 2011 | 15 | 2011 |
Hammerstein–wiener multimodel approach for fast and efficient muscle force estimation from emg signals I Chihi, L Sidhom, EN Kamavuako Biosensors 12 (2), 117, 2022 | 14 | 2022 |