/LoadForecasting_in_Micro_Grid

Loadforecasting in micro grid contains forecaste of generation as well as load using advanced ML and NN techniques

Primary LanguageJupyter NotebookMIT LicenseMIT

1)Developed a micro-grid energy forecasting system incorporating external factors and advanced machine learning techniques, including LSTM, to predict load and energy generation accurately. 2)Utilized real-time simulation methods to generate precise solar and wind energy forecasts, optimizing micro-grid operations and ensuring efficient resource utilization. 3)mplemented a robust energy forecasting system for micro-grid operations, enhancing operational efficiency, minimizing energy wastage, and promoting sustainable energy management practices.