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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
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
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Liang, Qian
,
Wencheng Wang
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
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Wang, Wencheng
and
Yinchao Wang
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
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Wang, Yinchao
Feb 26, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Feb 26, 2024
Received:
Jan 02, 2024
Accepted:
Jan 09, 2024
DOI:
https://doi.org/10.2478/amns-2024-0323
Keywords
<kwd>Short-term electric load forecasting</kwd>
,
<kwd>Long and short-term memory networks</kwd>
,
<kwd>Whale optimization algorithm</kwd>
,
<kwd>Machine learning</kwd>
,
<kwd>Adaptive Weights</kwd>
© 2024 Qian Liang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
