Solar Energy Prediction using Decision Tree Regressor

The energy demand is increasing every day. This increase in demand has led us to find alternate sources of energy. The non-renewable sources have limited supply, and constant use gives rise to various types of pollution. Gradually, people started relying on renewable sources of energy due to their abundance in nature. Alternately, Solar Energy (SE) is one of the best sources of energy in India. This paper aims to predict the output production of Solar Power Plants in KWh. Also, this research paper attempts to find the relation of weather attributes with the output power generated. The Decision Tree Regressor model will be used to forecast the power generation of a Solar Power Plant. This model's predictions will help us determine how a solar power plant can be efficiently used to generate a high amount of power. The motivation behind the study was to develop a system that can effectively predict the output of these photovoltaic cells so that orders for supply and demand gaps are placed timely, ensuring the quality of service and cost savings.