Regression Model Accuracy Measurement and Evolution for Sample Data for Hybrid Solar and Wind Power

Abstract

This paper purely based on the machine learning regression model accuracy checking for the sample dataset of the power generation from wind and solar energy conversion system in standalone mode. The work is also focused on the combined power generation from wind and solar with incorporation of battery bank. For that the data is generated for the hybrid renewable energy system with wind, solar PV and battery; through simulation software. The wind speed for wind turbine, radiation and temperature for solar PV is taken in to the consideration for Ahmedabad, Gujarat, India. Through machine learning training the accuracyhas checked for the metrics to provide the proper insight for the dataset of the hybrid renewable energy power generation system and its prediction forgiven dataset of monthly basis.