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Development of a Machine Learning Forecast Model for Global Horizontal Irradiation Adapted to Tibet Based on Visible All-Sky Imaging

  • 【作者】Lingxiao Wu,Tianlu Chen,Nima Ciren,Dui Wang,Huimei Meng,Ming Li,Wei Zhao,Jingxuan Luo,Xiaoru Hu,Shengjie Jia,Li Liao,Yubing Pan,Yinan Wang
  • 【作者单位】1Key Laboratory for Cosmic Rays of the Ministry of Education, Tibet University, Lhasa 850000, China;2School of Ecology and Environment, Tibet University, Lhasa 850000, China;3Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;4Beijing Keytec Technology Co., Ltd., Beijing 100029, China;5Huainan Academy of Atmospheric Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Huainan 232000, China;6Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
  • 【年份】2023
  • 【卷号】Vol.15 No.2340
  • 【页码】2340
  • 【关键词】Visible All-Sky image cloud cover global horizontal irradiation short-term forecast machine learning 
  • 【摘要】 The Qinghai-Tibet Plateau is rich in renewable solar energy resources. Under the background of China’s “dual-carbon” strategy, it is of great significance to develop a global horizontal irradiation prediction model suitable for Tibet. In the radiati...
  • 【文献类型】 期刊
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