Valerio Lo Brano

Photovoltaic power forecasting and anomaly detection: a comparative study of statistical, deep learning, and zero-shot foundation models on seven years of real plant data

Faults and gradual performance degradation in photovoltaic plants often remain undetected, causing energy losses and increasing maintenance costs. Selecting an appropriate forecasting model for residual-based anomaly detection requires understanding the relative contributions of...