Levenberg-Marquardt algorithm-based solar PV energy integrated internet of home energy management system

With the emergence of smart grids, the home energy management system (HEMS) has immense prospective to optimize energy usage and reduce costs in the residential sector. However, the challenges persist in effectively controlling power consumption, reducing energy expenses, enhancing resident comfort, and optimizing the coordination of renewable energy sources (RESs). In this study, a Levenberg-Marquardt (LM) algorithm-based solar PV integrated internet of home energy management system (IoHEMS) is developed. The LM algorithm has been chosen as it outperforms the other two artificial intelligence (AI) algorithms: Bayesian regularization (BR) and scaled conjugate gradient (SCG). With the setup of using 70 % of data for training, 15 % for validation, and 15 % for testing, the LM algorithm shows the regression of…