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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Main Authors: | Li, Song, Goel, Lalit, Wang, Peng |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2017
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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 |
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