Solar radiation prediction with weather scenarios for flexible decision-making in building energy systemsOA
Solar radiation prediction with weather scenarios for flexible decision-making in building energy systems
You Li;Yafei Wang;Seiichi Ogata;Wanxiang Yao;Weisheng Zhou
Graduate School of Energy Science,Kyoto University,Yoshida-Honmachi,Sakyo-Ku,Kyoto,606-8501,Japan||Asia-Japan Research Institute,Ritsumeikan University,Osaka,567-8570,JapanSchool of Civil Engineering and Architecture,Zhejiang University of Science&Technology,Hangzhou 310023,China||Zhejiang-Singapore Joint Laboratory for Urban Renewal and Future City,Hangzhou 310023,ChinaGraduate School of Energy Science,Kyoto University,Yoshida-Honmachi,Sakyo-Ku,Kyoto,606-8501,JapanInnovation Institute for Sustainable Maritime Architecture Research and Technology,Qingdao University of Technology,Qingdao 266033,ChinaCollege of Policy Science,Ritsumeikan University,Ibaraki 567-8570,Japan
hourly solar radiation predictionweather solar radiation scenarios generationweather uncertaintyhybrid deep learning model
hourly solar radiation predictionweather solar radiation scenarios generationweather uncertaintyhybrid deep learning model
《建筑模拟（英文版）》 2026 (1)
53-70,18
This work was supported by the Japan Society for the Promotion of Science(JSPS)under Grant number P25418 and 25KF0233.The authors would also like to acknowledge the collection and collation of weather data by the Japan Meteorological Agency(https://www.jma.go.jp/jma/index.html).
评论