Dataset of February of power generation

This repository contains a dataset and analysis code related to the energy generation of a photovoltaic (PV) system. The database includes real or simulated measurements of PV module power output under normal operating conditions. It also provides a Python-based analysis framework for fault detection in photovoltaic systems using data-driven and topological data analysis (TDA) techniques. The code identifies anomalies and deviations in energy production that may indicate faults at the module or system level. Additionally, the repository includes a set of files that simulate random power losses to emulate unpredictable faults, as well as controlled fault scenarios corresponding to the loss of specific panels. These synthetic datasets are designed to test and validate the robustness of fault detection algorithms under different conditions