Under a hierarchical structure perspective, the integration of tools like the internet of things,
cloud computing, and machine learning into a microgrid real-time energy management …

In this article, we investigate the energy allocation problem for microgrids with energy supply
coordination. To meet the requirements of the manufacturing system and reduce the …

Proper management of the tasks in a microgrid makes the energy management system
successful. These tasks are based on analysis, control, and predictions in real-time, which …

This paper presents an in-depth exploration of machine learning (ML) applications in smart
grids, focusing on six key areas: demand forecasting, energy management, microgrid …

Organizing the generation, storage, and management of electrical energy from the
perspective of renewable energies, as well as the parameterization of the energy …

Electricity plays a crucial part in human living. The use of electricity has become a necessity.
Though energy is a renewable resource it is being wasted often due to energy leakage …

The increasing integration of renewable energy sources, such as solar and wind, into
microgrids has revolutionized the power industry but introduced challenges in real-time load …