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Project duration: 2023-05-01 - 2026-04-30

KICK-PV: AI-based characterization and classification of PV systems for predictive maintenance

Improvement the precision of remote maintenance of photovoltaic systems using AI methods. Fault patterns are to be assessed according to and cause in order to prevent damage at an early stage.
Sub-project lead THRO: Prof. Dr. Achim Schulze

Übergreifend Energieeffizienz Energietechnik KI Künstliche Intelligenz Photovoltaik