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This document discusses a machine learning model utilizing a Fuzzy Expert System (FES) for optimizing power extraction from solar photovoltaic (SPV) arrays under partial shading conditions. It compares a proposed Modified Sudoku reconfiguration technique with existing configurations like Total-Cross-Tied and demonstrates that the FES model accurately predicts optimal configurations with 0% mean absolute percentage error across various PV array sizes. The findings suggest that this approach can effectively e

Author

Monika Shekhawat

Language

EN