Mohamed Massaoudi
Orcid: 0000-0002-9388-2115
According to our database1,
Mohamed Massaoudi
authored at least 14 papers
between 2016 and 2023.
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Bibliography
2023
Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review.
IEEE Access, 2023
Harnessing Recurrent-Based Deep Learning Models for Time Series Photovoltaic Power Forecasting.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
2022
Classification of Mechanical Faults in Rotating Machines Using SMOTE Method and Deep Neural Networks.
Proceedings of the IECON 2022, 2022
2021
IEEE Access, 2021
Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review.
IEEE Access, 2021
Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method.
IEEE Access, 2021
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects.
IEEE Access, 2021
2020
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
2019
Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting.
CoRR, 2019
A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting.
CoRR, 2019
CoRR, 2019
Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data.
Proceedings of the IECON 2019, 2019
2017
Key frames extraction using graph modularity clustering for efficient video summarization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016