Predict the Thermal Power Plant Generation by Regression Model

Predict the Thermal Power Plant Generation by Regression Model

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Part of #Predict the Thermal Power Plant Generation by Regression Model# :

Publishing year : 2014

Conference : The 7th Conference of Power Plants

Number of pages : 6

Abstract: Using multiple regression models makes it possible to find a relationship between the various variables and the response variable (objective variable). These models demonstrate the effects of the variables on the objective variable simultaneously, which is extensively used in all fields of industry and trade. In other words, multipleregression models make it possible to predict the response variable (object) based on several independent variables and find the type and proportion of the effect of each variable as direct or inverse. In this paper, the random samples of Hormozgan thermal power plant generation in September 2014 and several affective variables on the generation of the 2nd thermal unit were selected to find the effect of each variable on generation. All hypothesis testing, analysis of variance and estimation of parameters in the model have been accomplished using the R software on0.05 error level (alpha level).