This project focuses on understanding and analyzing the behavior of random variables in electrical systems, particularly within a solar panel farm.
Statistical modeling and probability analysis are applied to predict performance, detect anomalies, and optimize energy output. Visualization techniques help interpret the data and support informed engineering decisions.