Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Short-term power load forecasting model based on multi-strategy improved WOA optimized LSTM
Qian Liang
Qian Liang
,
Wencheng Wang
Wencheng Wang
and
Yinchao Wang
Yinchao Wang
| Feb 26, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Feb 26, 2024
Page range:
-
Received:
Jan 02, 2024
Accepted:
Jan 09, 2024
DOI:
https://doi.org/10.2478/amns-2024-0323
Keywords
Short-term electric load forecasting
,
Long and short-term memory networks
,
Whale optimization algorithm
,
Machine learning
,
Adaptive Weights
© 2024 Qian Liang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Qian Liang
Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology
Guilin, China
College of Mechanical and Control Engineering Guilin University of Technology
Guilin, China
Wencheng Wang
Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology
Guilin, China
College of Mechanical and Control Engineering Guilin University of Technology
Guilin, China
Yinchao Wang
Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology
Guilin, China
College of Mechanical and Control Engineering Guilin University of Technology
Guilin, China