| Title |
Load Forecasting for Holidays Using a Fuzzy Least Squares Linear Regression Algorithm |
| Authors |
송경빈(Song Kyung-Bin) ; 구본석(Ku Bon-Suk) ; 백영식(Baek Young-Sik) |
| Keywords |
load forecasting ; fuzzy least squares linear regression |
| Abstract |
An accurate load forecasting is essential for economics and stability power system operation. Due to high relationship between the electric power load and the electric power price, the participants of the competitive power market are very interested in load forecasting. The percentage errors of load forecasting for holidays is relatively large. In order to improve the accuarcy of load forecasting for holidays, this paper proposed load forecasting method for holidays using a fuzzy least squares linear regression algorithm. The proposed algorithm is tested for load forecasting for holidays in 1996, 1997, and 2000. The test results show that the proposed algorithm is better than the algorithm using fuzzy linear regression. |