IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i11p2778-d1409582.html
   My bibliography  Save this article

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

Author

Listed:
  • Ming-Wei Li

    (College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China)

  • Jing Geng

    (School of Education Intelligent Technology, Jiangsu Normal University/No. 101, Shanghai Rd., Tongshan District, Xuzhou 221116, China)

  • Wei-Chiang Hong

    (School of Education Intelligent Technology, Jiangsu Normal University/No. 101, Shanghai Rd., Tongshan District, Xuzhou 221116, China)

  • Yang Zhang

    (College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China)

Abstract

Text Correction [...]

Suggested Citation

  • Ming-Wei Li & Jing Geng & Wei-Chiang Hong & Yang Zhang, 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," Energies, MDPI, vol. 17(11), pages 1-1, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2778-:d:1409582
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/11/2778/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/11/2778/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2778-:d:1409582. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.