Forecasting Global Horizontal Solar Irradiance: A Case Study Based on Indian Geography

被引:0
|
作者
Pai, Sagun [1 ]
Soman, S. A. [1 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Bombay 400076, Maharashtra, India
关键词
Global horizontal irradiance; Neural networks; Renewable energy forecasting; Solar photovoltaic plants; Support vector machines; PV;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Solar generation technologies have undergone a significant growth in energy market for the past decade or so, due to higher penetration of renewable energy in electrical grid systems. Solar resource is extremely variable primarily due to climatic factors and hence, causes multiple grid and plant level problems. As a result, it is imperative to have forecast systems with high accuracy for varying time horizons. Here, we analyse some forecasting techniques and apply them for day-ahead solar forecasting. The techniques are evaluated by predicting global horizontal irradiance across five major solar power plant sites in the Indian subcontinent. The present findings and conclusions can be used to utilize solar energy resource in an efficient manner and help in power system management.
引用
收藏
页码:247 / 252
页数:6
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