| Title |
An Improvement Algorithm of the Daily Peak Load Forecasting for Korean Thanksgiving Day and the Lunar New Year's Day |
| Authors |
구본석(Ku, Bon-Suk) ; 백영식(Baek, Young-Sik) ; 송경빈(Song , Kyung-Bin) |
| Keywords |
load forecasting ; fuzzy linear regression |
| Abstract |
This paper proposes an improved algorithm of the daily peak load forecasting for Korean Thanksgiving Day and the Lunar New Year's day. So far, many studies on the short-term load forecasting have been made to improve the accuracy of the load forecasting. However, the large errors of the load forecasting occur i case of Korean Thanksgiving Day and the Lunar New Year's Day. In order to reduce the errors of the load forecasting, the fuzzy linear regression method is introduced and a good selection method of the past load pattern is presented. Test results show that the proposed algorithm improves the accuracy of the load forecasting. |