
Advancements in digital twin technology and machine learning for energy
In , the authors of propose Smart Energy Management System (SEMS), an energy management tool designed for smart cities or districts. SEMS facilitates optimal control and coordination of interconnected energy assets while adhering to user-defined objectives. It leverages machine learning-based forecasting and model predictive control techniques to






































