TY - JOUR A2 - Van Sark, Wilfried G. J. H. M. AU - Ahmed Kutty, Hairuniza AU - Masral, Muhammad Hazim AU - Rajendran, Parvathy PY - 2015 DA - 2015/12/31 TI - Regression Model to Predict Global Solar Irradiance in Malaysia SP - 347023 VL - 2015 AB - A novel regression model is developed to estimate the monthly global solar irradiance in Malaysia. The model is developed based on different available meteorological parameters, including temperature, cloud cover, rain precipitate, relative humidity, wind speed, pressure, and gust speed, by implementing regression analysis. This paper reports on the details of the analysis of the effect of each prediction parameter to identify the parameters that are relevant to estimating global solar irradiance. In addition, the proposed model is compared in terms of the root mean square error (RMSE), mean bias error (MBE), and the coefficient of determination ( R. 2 ）与文学研究提供的其他型号。提出了基于单个参数（PM1至PM7）和五种多参数模型（PM7至PM12）的七种模型。新型号表现良好，RMSE范围从0.429％到1.774％， R. 2 从0.942到0.992，MBE范围从-0.1571％到0.6025％。一般而言，云盖会显着影响全球太阳辐照度的估计。然而，当在多参数模型中，马来西亚的云覆盖缺乏足够的影响，尽管它在单参数预测模型中表现得相当良好。SN - 1110-662X UR - https://doi.org/10.1155/2015/347023 do - 10.1155/2015 / 347023 jf - 国际摄影师Pb - Hindwi Publishing CorporationKW - ER -