SVM Modeling Simulation to Evaluate the Electric Vehicle Transmitting Points

Green energy-based intelligent grids are needed to improve security, operation conditions, and power management. Different sources, like solar, wind turbines etc., generate green energy.This green energy will reduce pollution and improves energy production. The current research uses the machine learning model to apply green energy management in an intelligent grid by smart monitoring. The existing Support vector model will predict the need for hybrid electric vehicle (HEV) charging requirements. Coordinate and innovative/intelligent charging systems are applicable in HEVs. The dragonfly-based model is used to evaluate the best charging system for optimization purposes. Apart from this, the self-adaptive model is used to get modified or suit the best charging strategy. Simulation results obtained from the intelligent microgrid reveal the model's suitability and efficiency. By the end of the research, predict the charging requirements concerning minor errors and compare the coordinate and smart charging system performance and operational cost.