Slovak researchers predict PV inverter output without weather sensors

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in classifying inverter output states under static operating conditions at a solar installation.