Design and Simulation of Solar Power-Based Charging Station Using Irradiance Data Prediction with Deep Learning-Based Model

This paper proposes a novel design technique for installing highly efficient solar power charging stations using deep learning prediction model. Using renewable sources for energy has become a must in the modern times as the heat levels increase and the climate changes due to irresponsible human interference in energy generation. Not just using, but also implementing the renewable power generation modules effectively has become a necessity. Predicting the best location for installing a photovoltaic (PV) array can help in many aspects. In the proposed method, a deep learning (DL) model is used to predict the amount of solar energy which can be absorbed by solar panels for battery charging stations. Using the obtained results, a novel electric vehicle (EV) charging station is designed. This will help in capturing solar energy and effectively using it for charging the batteries. The proposed model will help in designing cost-effective charging and setting up charging stations at the optimal location.