Examination of Correction Method of Long-term Solar Radiation Forecasts of Numerical Weather Prediction

被引：0
作者：
Ueshima, Miki [1 ]
Babasaki, Tadatoshi [1 ]
Yuasa, Kazufumi [2 ]
Omura, Ichiro [2 ]
机构：
[1] NTT FACIL INC, Res & Dev Div, Tokyo, Japan
[2] Kyushu Inst Technol, Grad Sch Life Sci & Syst Engn, Fukuoka, Japan
来源：
2019 8TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA 2019) | 2019年
关键词：
solar radiation prediction; PV; multiple regression analysis; NWP; GENERATION;
D O I：
10.1109/icrera47325.2019.8997070
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
To optimize operation plans for storage batteries with solar power systems, it is necessary to predict solar radiation for up to one week with high accuracy. However, it is known that the further a prediction system forecasts into the future, the lower the prediction accuracy. In this paper, we report on the results of testing a method for correcting the solar radiation prediction value statistically from a numerical weather prediction model by using the tendency of past error occurrence for predicting seven days ahead.
引用
收藏
页码：113 / 117
页数：5
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