Abstract: Extreme learning machine (ELM) is an effective and efficient neural model for universal approximation. However, its practical performance can degrade due to weight noise, node faults, and ...
Abstract: Power load forecasting constitutes a pivotal component within the framework of power system planning and scheduling. In conventional ELM models employed for power load forecasting, the ...
1 Henan Polytechnic, Zhengzhou, China 2 School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China This study mainly includes five sections. The first section primarily ...