| Title |
Improvement of the Load Forecasting Accuracy by Reflecting the Operation Rates of Industries on the Consecutive Holidays |
| Authors |
임남식(Lim, Nam-Sik) ; 이상중(Lee, Sang-Joong) |
| DOI |
https://doi.org/10.5370/KIEE.2016.65.7.1115 |
| Keywords |
Daily load forecasting ; Special days ; Rate of operation ; Industrial consumers |
| Abstract |
This paper presents the daily load forecasting for special days considering the rate of operation of industrial consumers. The authors analyzed the power consumption pattern for both the special and ordinary days according to the contract power classification of industrial consumers, and selected 400~600 specific consumers for which the rates of operation during special days are needed. Load forecasting for 2014 special days considering the rate of operation of industrial consumers showed a noticeable improvement on forecasting error of daily peak demand, which proved the effectiveness of the survey for the rates of operation during special days of industrial consumers. |