Abstract: It is crucial to precisely forecast the power load to achieve efficient resource distribution and cost control. The current work introduces a deep learning (DL) driven fusion framework for ...

Abstract: The growing incorporation of wind energy into power grids introduces concerns about frequency stability which leads to low-inertia grids susceptible to disturbances. Relying on fossil ...