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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Daily Load Forecasting and Data-Driven Strategies for Steel Industry Based on Random Forest Modeling
Siteng Wang
Siteng Wang
State Grid East Inner Mongolia Power Supply Service Supervision and Support Center
Tongliao, China
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Wang, Siteng
,
Luxi Zhang
Luxi Zhang
State Grid East Inner Mongolia Power Supply Service Supervision and Support Center
Tongliao, China
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Zhang, Luxi
,
Zhiyuan Cao
Zhiyuan Cao
State Grid East Inner Mongolia Power Supply Service Supervision and Support Center
Tongliao, China
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Cao, Zhiyuan
,
Rui Zhang
Rui Zhang
State Grid East Inner Mongolia Power Supply Service Supervision and Support Center
Tongliao, China
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Zhang, Rui
and
Liwei Zhang
Liwei Zhang
Beijing Tsingsoft Technology Co., Ltd.
Beijing, China
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Zhang, Liwei
Nov 11, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Nov 11, 2024
Received:
Jun 08, 2024
Accepted:
Oct 04, 2024
DOI:
https://doi.org/10.2478/amns-2024-3147
Keywords
<kwd>Gray correlation projection method</kwd>
,
<kwd>Random forest</kwd>
,
<kwd>Daily load forecasting</kwd>
,
<kwd>Situational awareness</kwd>
,
<kwd>Steel industry</kwd>
© 2024 Siteng Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
