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Statistical downscaling of numerical weather prediction based on convolutional neural networks

Hongwei Yang Jie Yan Yongqian Liu Zongpeng Song

全球能源互联网：英文版2022，Vol.5Issue(2)：P.217-225,9.

全球能源互联网：英文版2022，Vol.5Issue(2)：P.217-225,9.DOI:10.1016/j.gloei.2022.04.018

Statistical downscaling of numerical weather prediction based on convolutional neural networks

Hongwei Yang ¹Jie Yan ¹Yongqian Liu ¹Zongpeng Song²

作者信息

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,P.R.China School of Renewable Energy,North China Electric Power University,Beijing 102206,P.R.China
2. Renewable Energy Center,China Electric Power Research Institute,Beijing 100192,P.R.China State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems,Beijing 100192,P.R.China
折叠

摘要

关键词

Convolutional Neural Network/Deep learning/Numerical Weather Prediction

分类

天文与地球科学

引用本文复制引用

Hongwei Yang,Jie Yan,Yongqian Liu,Zongpeng Song..Statistical downscaling of numerical weather prediction based on convolutional neural networks[J].全球能源互联网：英文版,2022,5(2):P.217-225,9.

基金项目

supported by the Science and Technology Project of State Grid Corporation of China:Key technology for high-resolution and centralized wind power forecasting for deep-offshore wind power base (No. SGSXDK00YJJS2000879) （No. SGSXDK00YJJS2000879）

全球能源互联网：英文版

OACSCDCSTPCDEI

ISSN：2096-5117

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