2017
DOI: 10.7324/ijasre.2017.32542
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Performance Assessment Of Hargreaves Model In Estimating Global Solar Radiation In Sokoto, Nigeria.

Abstract: BACKGROUND OF THE STUDYIn many applications of solar energy, the most important parameters that are often needed are the average global solar irradiation and its components. Unfortunately, the measurements of these parameters are done only at a few places. For this reason there have been attempts at estimating them from theoretical models. Latha et al., mentioned that these equations range from the most complex energy balance equations requiring detailed climatological data to simpler equations requiring limit… Show more

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Cited by 2 publications
(3 citation statements)
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“…A positive sign indicates an upward slope, while a negative sign represents a downward one. The Sen's slope test results seem to be fairly similar to those obtained from the MKT [52,62].…”
Section: Trend Analysis Of Ndvi and Lst By Mann-kendall And Sen's Slopesupporting
confidence: 69%
See 1 more Smart Citation
“…A positive sign indicates an upward slope, while a negative sign represents a downward one. The Sen's slope test results seem to be fairly similar to those obtained from the MKT [52,62].…”
Section: Trend Analysis Of Ndvi and Lst By Mann-kendall And Sen's Slopesupporting
confidence: 69%
“…Positive values for CRM indicate that the model underestimates the measurements, and negative values overestimate [63]. For an ideal fit between the observed and predicted data, RMSE and CRM's values should equal 0.0 [62]. As can be seen from the statistical analysis results, the accuracy of the model in the estimation of NDVI and LST in Tables 8 and 9 for the study periods was tested by calculating the Coefficient of Residual Mass (CRM), Root Mean Square Error (RMSE), and coefficient of determination (R 2 ), respectively.…”
Section: Multiple Regression Statistics Rmse and Crmmentioning
confidence: 99%
“…The RMSE indicates the standard deviation of the model prediction error (Zambrano-Bigiarini, 2017), while the R2 estimates the combined dispersion versus the single dispersion of the observed and estimated values (Krause et al, 2005). The CRM indicates how much the model is underestimated or overestimated overall (Aliyu and Bello, 2017). The d-index is a standardized measure of the degree of model prediction error and represents the ratio between the mean squared error and the potential error (Willmott, 1981;Krause et al, 2005).…”
Section: Statistical Analysismentioning
confidence: 99%