RESEARCHER PROFILE
Mohamed Massaoudi
← Back to Texas A&M University at Qatar
M
Texas A&M University at Qatar
Mohamed Massaoudi works in Power System Optimization and Stability, Energy Load and Power Forecasting, Smart Grid Security and Resilience, Solar Radiation and Photovoltaics, Photovoltaic System Optimization Techniques. Recorded institutional associations include Texas A&M University System, Texas A&M University at Qatar, Tarleton State University.
61Publications
1,564Citations
17H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting
2020 · 400 citationsDeep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
2021 · 256 citationsAn Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
2021 · 142 citationsConvergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
2021 · 93 citationsNavigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
2023 · 58 citationsPLS-CNN-BiLSTM: An End-to-End Algorithm-Based Savitzky–Golay Smoothing and Evolution Strategy for Load Forecasting
2020 · 54 citationsEnhanced Random Forest Model for Robust Short-Term Photovoltaic Power Forecasting Using Weather Measurements
2021 · 53 citationsAdvancing Lithium-Ion Battery Health Prognostics With Deep Learning: A Review and Case Study
2024 · 41 citationsA Hybrid Bayesian Ridge Regression-CWT-Catboost Model For PV Power Forecasting
2020 · 40 citationsEnhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
2021 · 38 citationsKey frames extraction using graph modularity clustering for efficient video summarization
2017 · 32 citationsAccurate Smart-Grid Stability Forecasting Based on Deep Learning: Point and Interval Estimation Method
2021 · 31 citationsPerformance Evaluation of Deep Recurrent Neural Networks Architectures: Application to PV Power Forecasting
2019 · 28 citationsIntrusion Detection Method Based on SMOTE Transformation for Smart Grid Cybersecurity
2022 · 24 citationsShort-Term Electric Load Forecasting Based on Data-Driven Deep Learning Techniques
2020 · 20 citationsFast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
2024 · 20 citationsAn Effective Ensemble Learning approach-Based Grid Stability Assessment and Classification
2021 · 18 citationsOptimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation
2024 · 17 citationsAn Effective Hybrid Symbolic Regression–Deep Multilayer Perceptron Technique for PV Power Forecasting
2022 · 16 citationsAnalysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review
2025 · 16 citationsNovel Functional Community Detection in Networked Smart Grid Systems-Based Improved Louvain Algorithm
2023 · 15 citationsA Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting
2019 · 14 citationsAdvancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning
2025 · 14 citationsMedium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data
2019 · 11 citationsUHF Partial Discharge Localization in Gas-Insulated Switchgears: Gradient Boosting Based Approach
2020 · 11 citations