You are currently viewing a new version of our website. To view the old version click .
Energies
  • Correction
  • Open Access

6 June 2024

Correction: Li et al. Hybridizing Chaotic and Quantum Mechanisms and Fruit Fly Optimization Algorithm with Least Squares Support Vector Regression Model in Electric Load Forecasting. Energies 2018, 11, 2226

,
,
and
1
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
2
School of Education Intelligent Technology, Jiangsu Normal University/No. 101, Shanghai Rd., Tongshan District, Xuzhou 221116, China
*
Author to whom correspondence should be addressed.
Text Correction
Table Legend
In the original publication [1], there was a mistake in the legend for Tables 10 and 11. Denotes that the LS-SVR-CQGA model significantly outperforms the other models. ** implies the p-value is lower than α = 0.025; * implies the p-value is lower than α = 0.05. The correct legend appears below.
**T Denotes that the LS-SVR-CQFOA model significantly outperforms the other models. ** implies that the p-value is lower than α = 0.025; * implies that the p-value is lower than α = 0.05 **.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Li, M.-W.; Geng, J.; Hong, W.-C.; Zhang, Y. Hybridizing Chaotic and Quantum Mechanisms and Fruit Fly Optimization Algorithm with Least Squares Support Vector Regression Model in Electric Load Forecasting. Energies 2018, 11, 2226. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.