Fault detection and classification in a 80kW photovoltaic system using Machine Learning techniques

This is a project which consisted on fault and anomaly detection for photovoltaic systems. It started with a study of models that could detect the outliers for data, then an electrical fault and anomaly labeling was necessary and finally, a classification of these labels was made in order to make co...