This article is a correction to:
Clifford Fuzzy Support Vector Machine for Regression and Its Application in Electric Load Forecasting of Energy System
Rui Wang
Xiaoyi Xia1- 1School of Communication and Information Engineering, Shanghai University, Shanghai, China
- 2College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China
A corrigendum on
Clifford Fuzzy Support Vector Machine for Regression and Its Application in Electric Load Forecasting of Energy System
by Wang, R., Xia, X., Li, Y., and Cao, W. (2021). Front. Energy Res. 9:793078. doi:10.3389/fenrg.2021.793078
In the original article, the authors neglected to include the following Funding statement: “National Natural Science Foundation of China, 61771299 and 61771322” to Rui Wang, Xiaoyi Xia, Yanping Li, Wenming Cao. Please see the full corrected statement below.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Funding
The authors declare that they received funding from the National Natural Science Foundation of China, 61771299 and 61771322, to the authors RW, XX, YL and WC.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: Clifford geometric algebra, support vector regression, fuzzy membership, multi-output, electric load forecasting
Citation: Wang R, Xia X, Li Y and Cao W (2022) Corrigendum: Clifford Fuzzy Support Vector Machine for Regression and Its Application in Electric Load Forecasting of Energy System. Front. Energy Res. 10:848817. doi: 10.3389/fenrg.2022.848817
Received: 05 January 2022; Accepted: 06 January 2022;
Published: 14 February 2022.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 Wang, Xia, Li and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yanping Li, eWFucGluZ2xpQHNodS5lZHUuY24=; Wenming Cao, d21jYW9Ac3p1LmVkdS5jbg==