Stefania Guarino

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...

Multi-objective optimisation of renewable energy integration in circular brine valorisation/treatment: The case of the CARMEn chain

Circular brine-valorisation chains offer a promising route to address water scarcity and critical raw-material recovery, but their large electrical and thermal energy demands can offset environmental benefits if powered by fossil sources. This work develops a fully integrated, ho...