Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Erratum to: Wind power forecasting based on outlier smooth transition autoregressive GARCH model

Erratum to: Wind power forecasting based on outlier smooth transition autoregressive GARCH model J. Mod. Power Syst. Clean Energy (2019) 7(6):1749 DOI 10.1007/s40565-016-0250-3 Erratum to: Wind power forecasting based on outlier smooth transition autoregressive GARCH model 1 2 3 Hao CHEN , Fangxing LI , Yurong WANG 1.2 Erratum to: J. Mod. Power Syst. Clean Energy DOI 10.1007/s40565-016-0226-3 1.0 In the original publication of this article Fig. 1 has been 0.8 γ =1 incorrectly published due to a typesetting error. The type- γ =2 0.6 setters would like to sincerely apologize for this error and γ =4 regret the inconvenience caused. The correct Fig. 1 is γ =8 0.4 provided in this erratum. The original article was corrected. γ =16 0.2 =32 -4 -2 0 2 4 -10 -8 -6 68 10 Fig. 1 OSTAR function with different c Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a The online version of the original article can be found under doi:10. link to the Creative Commons license, and indicate if changes were 1007/s40565-016-0226-3. made. Published online: 6 January 2017 The Author(s) 2017. This article is published with open access at Springerlink.com & Hao CHEN pingfengma@126.com Fangxing LI fli6@utk.edu Yurong WANG wangyurong@seu.edu.cn State Grid Jiangsu Electric Power Company, No. 215 Shanghai Road, Nanjing 210008, China Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville 37996, TN, USA School of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, China http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Modern Power Systems and Clean Energy Springer Journals

Erratum to: Wind power forecasting based on outlier smooth transition autoregressive GARCH model

Loading next page...
 
/lp/springer-journals/erratum-to-wind-power-forecasting-based-on-outlier-smooth-transition-DzzOvLJaFj

References (0)

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Springer Journals
Copyright
Copyright © 2017 by The Author(s)
Subject
Energy; Energy Systems; Renewable and Green Energy; Power Electronics, Electrical Machines and Networks
ISSN
2196-5625
eISSN
2196-5420
DOI
10.1007/s40565-016-0250-3
Publisher site
See Article on Publisher Site

Abstract

J. Mod. Power Syst. Clean Energy (2019) 7(6):1749 DOI 10.1007/s40565-016-0250-3 Erratum to: Wind power forecasting based on outlier smooth transition autoregressive GARCH model 1 2 3 Hao CHEN , Fangxing LI , Yurong WANG 1.2 Erratum to: J. Mod. Power Syst. Clean Energy DOI 10.1007/s40565-016-0226-3 1.0 In the original publication of this article Fig. 1 has been 0.8 γ =1 incorrectly published due to a typesetting error. The type- γ =2 0.6 setters would like to sincerely apologize for this error and γ =4 regret the inconvenience caused. The correct Fig. 1 is γ =8 0.4 provided in this erratum. The original article was corrected. γ =16 0.2 =32 -4 -2 0 2 4 -10 -8 -6 68 10 Fig. 1 OSTAR function with different c Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a The online version of the original article can be found under doi:10. link to the Creative Commons license, and indicate if changes were 1007/s40565-016-0226-3. made. Published online: 6 January 2017 The Author(s) 2017. This article is published with open access at Springerlink.com & Hao CHEN pingfengma@126.com Fangxing LI fli6@utk.edu Yurong WANG wangyurong@seu.edu.cn State Grid Jiangsu Electric Power Company, No. 215 Shanghai Road, Nanjing 210008, China Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville 37996, TN, USA School of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, China

Journal

Journal of Modern Power Systems and Clean EnergySpringer Journals

Published: Jan 6, 2017

There are no references for this article.