Wind power interval forecasting based on multidimensional meteorological data and temporal effects

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New Energy | 更新时间：2026-01-20

- Wind power interval forecasting based on multidimensional meteorological data and temporal effects
- “In the field of wind power prediction, experts have proposed an interval prediction model that combines the N-HiTS point prediction model with GAM-DVQR theory, effectively considering the effects of wind speed and time, providing a new solution for wind power prediction.”
- ZHEJIANG ELECTRIC POWER Vol. 45, Issue 1, Pages: 66-77(2026)
- 作者机构：
  
  1.上海电力大学电气工程学院，上海 200090
  2.国网上海市电力公司金山供电公司，上海 200540
- 作者简介：
- 基金信息：
- DOI：10.19585/j.zjdl.202601007
  CLC：
- Received：11 March 2025，
  
  Revised：2025-04-05，
  
  Published：25 January 2026
- 稿件说明：
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黄学勤,杨鹏举,赵耀等.考虑多维气象数据与时间影响的风电功率区间预测[J].浙江电力,2026,45(01):66-77.

HUANG Xueqin,YANG Pengju,ZHAO Yao,et al.Wind power interval forecasting based on multidimensional meteorological data and temporal effects[J].ZHEJIANG ELECTRIC POWER,2026,45(01):66-77.
黄学勤,杨鹏举,赵耀等.考虑多维气象数据与时间影响的风电功率区间预测[J].浙江电力,2026,45(01):66-77. DOI： 10.19585/j.zjdl.202601007.

HUANG Xueqin,YANG Pengju,ZHAO Yao,et al.Wind power interval forecasting based on multidimensional meteorological data and temporal effects[J].ZHEJIANG ELECTRIC POWER,2026,45(01):66-77. DOI： 10.19585/j.zjdl.202601007.

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