Abstract: In this letter, we explore the feasibility of using machine learning (ML) to address time-domain electromagnetic forward and inverse problems. A novel ML-associated Hermite (AH) ...
Abstract: Detecting and diagnosing faults in large-scale solar power generation is a significant challenge as the number of these plants, along with their capacities, continues to rise. Ensuring the ...