Short-term load forecasting by wavelet transform and evolutionary extreme learning machine

• المؤلفون الرئيسيون: Li, Song, Wang, Peng, Goel, Lalit
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2015
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/107399; http://hdl.handle.net/10220/25475; http://dx.doi.org/10.1016/j.epsr.2015.01.002

This paper proposes a novel short-term load forecasting (STLF) method based on wavelet transform, extreme learning machine (ELM) and modified artificial bee colony (MABC) algorithm. The wavelet transform is used to decompose the load series for capturing the complicated features at different frequen...