Despite the rapid growth of photovoltaic (PV) energy, hidden yield losses from gradual degradation, soiling, and abrupt faults continue to erode the economic viability of PV installations worldwide. Manual inspection remains the dominant practice, yet it is labour-intensive (up to 8 h/MW), error-prone, and impractical for large-scale or remote plants. This thesis introduces a comprehensive, fully automated, data-driven monitoring and fault-handling framework that operates exclusively with measur