Correction: Liang, Y., et al. Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search. Energies 2016, 9, 827

Yi Liang; Dongxiao Niu; Minquan Ye; Wei-Chiang Hong

doi:10.3390/en9121076

,

and

¹

School of Economics and Management, North China Electric Power University, Beijing 102206, China

²

School of Economics and Management, North China Electric Power University, Baoding 070000, China

³

Department of Information Management, Oriental Institute of Technology, New Taipei 220, Taiwan

^*

Author to whom correspondence should be addressed.

Energies2016, 9(12), 1076;https://doi.org/10.3390/en9121076

This article belongs to the Special Issue Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting

Version Notes

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The authors wish to make the following corrections to their paper []:

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Please add the sentence “However, seasonality and long-term trends of the proposed model have not been tested and verified in this paper, which may become the limitation of this method, and the authors intend to study this aspect in the future.” behind “so it can be applied widely in parameter optimization.” in the Conclusion section.

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The authors would like to apologize for any inconvenience caused to the readers by this change. The change does not affect the scientific results. The manuscript will be updated and the original will remain online on the article webpage.

Conflicts of Interest

The authors declare no conflict of interest.

Reference

Liang, Y.; Niu, D.X.; Ye, M.Q.; Hong, W.-C. Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search. Energies 2016, 9. [Google Scholar] [CrossRef]

© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).

Correction: Liang, Y., et al. Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search. Energies 2016, 9, 827

Conflicts of Interest

Reference

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