| Title |
Daily peak load forecasting considering the load trend and temperature |
| Authors |
Nak-Hoon Choi ; Kwang-Myung Son ; Tae-Gee Lee |
| Abstract |
Since daily peak load forecasted data are essential to economic operation and power monitor, the technique of accurate forecasting is needed. The chief advantage of forecasting technique using neural network and fuzzy theory is high accuracy and operative implicity. but the learning time is long, and it makes large forecasting error when the load changes rapidly. This paper has presented a new forecasting technique to improve those faults, and the forecasting technique prove to be valid by forecasted results. |