Title |
Power Demand Estimation of Consuming Facility using Orthogonal Polynomial Regression Model |
Abstract |
This paper presents in the method power demand estimated of consuming facility algorithm using orthogonal polynomial regression model. Estimation model resented can use mathematical method consists of extrapolation and correlation method, Computation time and capacity of presented model was more economic than multiple regression model because low-order equation can use in the high-order equation without some correction and vice-versa. Therefore this mothed can be very usefulness mothed in the power demand estimation. Fourth-order model was very good among this model that was composed the estimation model of second, third and fourth-order. Power demand estimated result of consuming facility using correlation method was good in the percentage error of about 2[%]. Also It was to verify efficiency and appropriation the estimated model that estimation percentage error was about 1[%] in the power demand estimated result of 1997. |