TY - GEN
T1 - Relationship between the solar radiation and surface temperature in Perlis
AU - Daut, Ismail
AU - Yusoff, Mohd Irwan
AU - Ibrahim, Safwati
AU - Irwanto, Muhamad
AU - Gomesh, Nsurface
PY - 2012
Y1 - 2012
N2 - Statistical models for predicting the solar radiation have been developed. In any prediction of the solar radiation, an understanding of its characteristics is of fundamental importance. This study presents an investigation of a relationship between solar radiation and surface temperature in Perlis, Northern Malaysia for the year of 2006. To achieve this, the data are presented in daily averaged maximum and minimum surface temperature, and daily averaged solar radiation. Since the scatter plots represent the straight line, the linear regression model was selected to estimate the solar radiation. It was found that the linear correlation coefficient value is 0.7473 shows that a strong linear relationship between solar radiation and surface temperature. The analysis of variance R2 is 0.5585 that is; about 56 percent of the variability in temperature is accounted for by the straight-line fit to solar radiation. Based on the results, the fitted model is adequate to represent the estimation of solar radiation.
AB - Statistical models for predicting the solar radiation have been developed. In any prediction of the solar radiation, an understanding of its characteristics is of fundamental importance. This study presents an investigation of a relationship between solar radiation and surface temperature in Perlis, Northern Malaysia for the year of 2006. To achieve this, the data are presented in daily averaged maximum and minimum surface temperature, and daily averaged solar radiation. Since the scatter plots represent the straight line, the linear regression model was selected to estimate the solar radiation. It was found that the linear correlation coefficient value is 0.7473 shows that a strong linear relationship between solar radiation and surface temperature. The analysis of variance R2 is 0.5585 that is; about 56 percent of the variability in temperature is accounted for by the straight-line fit to solar radiation. Based on the results, the fitted model is adequate to represent the estimation of solar radiation.
KW - Linear regression model
KW - Solar radiation
KW - Statistical analysis
KW - Temperature
UR - http://www.scopus.com/inward/record.url?scp=84861614301&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMR.512-515.143
DO - 10.4028/www.scientific.net/AMR.512-515.143
M3 - Conference Proceeding
AN - SCOPUS:84861614301
SN - 9783037854143
T3 - Advanced Materials Research
SP - 143
EP - 147
BT - Renewable and Sustainable Energy II
PB - Trans Tech Publications Ltd
T2 - 1st International Conference on Energy and Environmental Protection, ICEEP 2012
Y2 - 23 June 2012 through 24 June 2012
ER -