AI algorithms are transforming solar panel maintenance by analyzing real-time data from sensors to predict potential failures before they occur. Machine learning models monitor panel degradation, dust accumulation, and electrical anomalies, enabling proactive maintenance schedules. This technology reduces downtime, increases efficiency, and extends panel lifespan while cutting operational costs through automated inspection systems and precise problem diagnosis.
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