Genetic Algorithm Model for Soiling Estimation

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This presentation explores the development of a Genetic Algorithm (GA)-based model for estimating soiling loss in photovoltaic (PV) modules using open-source data. It highlights the limitations of current approaches and introduces a hybrid physical-evolutionary modeling method optimized through rainfall and PM₁₀ data. Validation compares R² and WMAE metrics, showcasing enhanced performance. Conclusions address the efficacy of sensor-free estimation, limitations, and future adaptability...