Spice Simulated Solar Panel Dataset for Machine Learning Applications

The dataset is generated using LTSpice, where a Photovoltaics (PV) module consisting of 10 PV cells is connected in various electrical configurations and shading conditions. Due to the size of the dataset, it is ideal for training students and researchers to perform regression and classification tasks, such as predicting power output or categorizing shading levels. Due to its compact size, for educational purposes, no specialized GPU or cloud computing space is required for training students.