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Amira S. Mohamed Amira S. Mohamed

2 papers indexed

openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Hybrid Stacking Ensemble of XGBoost and LightGBM with Ridge Regression for High-Accuracy Short-Term Solar Photovoltaic Power Forecasting: A Comprehensive Benchmarking Study

Amira S. Mohamed Amira S. Mohamed, Frederic Andres Frederic Andres

For the successful integration of solar energy into power systems, accurately forecasting photovoltaic (PV) power is critically important. Despite numerous proposals for machine learning and deep learning techniques, few studies offer a unified, leakage-free comparison of models…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Physics-Informed Parallel Hybrid Ensemble of LightGBM and Transformer for Ultra-Accurate 15-Minute Solar PV Power Forecasting

Amira S. Mohamed Amira S. Mohamed, Frederic Andres Frederic Andres

The increasing penetration of photovoltaic (PV) systems demands highly accurate short-term power forecasting to ensure grid stability, facilitate energy trading, and optimize renewable energy operations. This study presents a comprehensive evaluation of seven machine learning and…

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