NDLI: Regression-based modeling methods for solar radiant exposure

Content Provider	IEEE Xplore Digital Library
Author	Wang Zhe Mi Zengqiang Wang Fei Liu Liqing
Copyright Year	2011
Description	Author affiliation: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China (Wang Zhe; Mi Zengqiang; Wang Fei; Liu Liqing)
Abstract	Solar radiant exposure is a vital parameter of solar radiation, which is used to estimate the photovoltaic power station output. The network of stations measuring the solar radiation data is sparse in many developing countries. In this paper nine years historical data for the year 2001–2009 from National Renewable Energy Laboratory (NREL) Solar Radiation Research Laboratory (SRRL) are employed to produce and validate the radiant exposure models. Utilizing the regression analysis, the solar radiant exposure models on meteorological parameters such as sunshine duration, temperature and relative humidity are established. Validation proves that the models can calculate the solar radiant exposure efficiently.
Starting Page	2567
Ending Page	2570
File Size	460563
Page Count	4
File Format	PDF
ISBN	9781612847191
e-ISBN	9781612847221
DOI	10.1109/MEC.2011.6026017
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature Multiple stepwise regression Humidity Solar radiant exposure Educational institutions Simple regression Data models Regression analysis Solar radiation Mathematical model
Content Type	Text
Resource Type	Article

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