Numerical Weather Prediction Correction Strategy for Short-Term Wind Power Forecasting Based on Bidirectional Gated Recurrent Unit and XGBoost Article Swipe
Yu Li
,
Fei Tang
,
Xin Gao
,
Tongyan Zhang
,
Junfeng Qi
,
Jiarui Xie
,
Xinang Li
,
Yuhan Guo
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fenrg.2021.836144
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fenrg.2021.836144
Accurate short-term wind power forecasting (WPF) plays a crucial role in grid scheduling and wind power accommodation. Numerical weather prediction (NWP) wind speed is the fundamental data for short-term WPF. At present, reducing NWP wind speed forecast errors contributes to improving the accuracy of WPF from the perspective of data quality. In this article, a variational mode decomposition combined with bidirectional gated recurrent unit (VMD-BGRU) method for NWP wind speed correction and XGBoost forecasting model are proposed. First, several NWP wind speed sub-series are divided by VMD to obtain more abundant multidimensional timing features. BGRU is applied to establish the potential relation between decomposed NWP wind speed sub-series and measured wind speed and get the proposed wind speed correction model. Then, a more clear regression forecasting model is trained based on XGBoost using historical measured wind speed and power. The corrected NWP wind speed is used to forecast wind power by XGBoost. Finally, the superiority of the proposed method is validated on a wind farm located in China. The results show that the proposed correction model and forecasting model outperform other compared models.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fenrg.2021.836144
- https://www.frontiersin.org/articles/10.3389/fenrg.2021.836144/pdf
- OA Status
- gold
- Cited By
- 32
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4205282669
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4205282669Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fenrg.2021.836144Digital Object Identifier
- Title
-
Numerical Weather Prediction Correction Strategy for Short-Term Wind Power Forecasting Based on Bidirectional Gated Recurrent Unit and XGBoostWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-17Full publication date if available
- Authors
-
Yu Li, Fei Tang, Xin Gao, Tongyan Zhang, Junfeng Qi, Jiarui Xie, Xinang Li, Yuhan GuoList of authors in order
- Landing page
-
https://doi.org/10.3389/fenrg.2021.836144Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fenrg.2021.836144/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/fenrg.2021.836144/pdfDirect OA link when available
- Concepts
-
Numerical weather prediction, Wind power forecasting, Wind speed, Meteorology, Wind power, Environmental science, Computer science, Electric power system, Power (physics), Geography, Engineering, Physics, Quantum mechanics, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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32Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 5, 2023: 16, 2022: 2Per-year citation counts (last 5 years)
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51Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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