2007
DOI: 10.1016/j.apenergy.2006.10.003
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Simple model for the generation of daily global solar-radiation data in Turkey

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Cited by 158 publications
(64 citation statements)
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“…In the present study, PSO is used to compare the solution quality with the HS algorithm. The model equations are evaluated using mean percentage error (MPE), mean absolute percentage error (MAPE), mean absolute bias error (MABE), and root mean square error (RMSE), which are defined as below [36][37][38][39][40][41][42]:…”
Section: Methodsmentioning
confidence: 99%
“…In the present study, PSO is used to compare the solution quality with the HS algorithm. The model equations are evaluated using mean percentage error (MPE), mean absolute percentage error (MAPE), mean absolute bias error (MABE), and root mean square error (RMSE), which are defined as below [36][37][38][39][40][41][42]:…”
Section: Methodsmentioning
confidence: 99%
“…Wu et al [12] used the metrological data from 1994 to 2005 of Nanchang station, China to predict daily global solar radiation from sunshine hours, air temperature, total precipitation and dew point. Buluta and Büyükalaca [13] proposed a simple model for estimation of monthly average of daily global solar radiation on horizontal surface for 68 provinces of Turkey with a high accuracy. Janjai et al [14] proposed a model for calculating the monthly average hourly global radiation in the tropics with high aerosol load using satellite data.…”
Section: Introductionmentioning
confidence: 99%
“…In order to achieve this, several empirical models have been developed to predict the solar radiation all over the world using various parameters. These parameters include extraterrestrial radiation, sunshine hours, mean temperature, maximum temperature, soil temperature, relative humidity, number of rainy days, altitude, latitude and cloudiness [1][2][3][4][5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%