An ensemble approach for short-term load forecasting by extreme learning machine

This paper proposes a novel ensemble method for short-term load forecasting based on wavelet transform, extreme learning machine (ELM) and partial least squares regression. In order to improve forecasting performance, a wavelet-based ensemble strategy is introduced into the forecasting model. The in...

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Bibliographic Details
Main Authors: Li, Song, Goel, Lalit, Wang, Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10356/84957
http://hdl.handle.net/10220/42087
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Institution: Nanyang Technological University
Language: English