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Research on Short-Term Wind Power Prediction Based on Multi-Task Learning
Artificial Intelligence | 更新时间：2025-04-14

    • Research on Short-Term Wind Power Prediction Based on Multi-Task Learning

    • “In the field of wind power generation, researchers have proposed a multi task learning model with hard parameter sharing, which significantly improves the accuracy of short-term wind power generation prediction through cross dimensional time-dependent hybrid encoding modules and multi-scale information encoding modules.”
    • Software Guide   Vol. 24, Issue 4, Pages: 32-41(2025)

    • DOI：10.11907/rjdk.241830    

      CLC： TP301.6

    • Received：27 September 2024，

      Published：15 April 2025

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  • DU Mingshan,ZHANG Haiqing,LI Daiwei,et al.Research on Short-Term Wind Power Prediction Based on Multi-Task Learning[J].Software Guide,2025,24(04):32-41. DOI： 10.11907/rjdk.241830.

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