Due to solar PV panels' growing feasibility as a renewable energy source, PV panel installations have surged recently.
Machine learning algorithms can now generate better predictions due to the increasing availability of data and computing
capacity. For many stakeholders in the energy business, predicting solar PV energy output is crucial, therefore machine learning
and time series models may be used to do this. In this study, time series models and several machine learning.