| Title |
Short-term Load Forecasting of Using Data refine for Temperature Characteristics at Jeju Island |
| Authors |
김기수(Kim, Ki-Su) ; 류구현(Ryu, Gu-Hyun) ; 송경빈(Song, Kyung-Bin) |
| Keywords |
Load forecasting ; Correlation ; Exponential smoothing method ; Temperature |
| Abstract |
This paper analyzed the characteristics of the demand of electric power in Jeju by year, day. For this analysis, this research used the correlation between the changes in the temperature and the demand of electric power in summer, and cleaned the data of the characteristics of the temperatures, using the coefficient of correlation as the standard. And it proposed the algorithm of forecasting the short-term electric power demand in Jeju, Therefore, in the case of summer, the data by each cleaned temperature section were used. Based on the data, this paper forecasted the short-term electric power demand in the exponential smoothing method. Through the forecast of the electric power demand, this paper verified the excellence of the proposed technique by comparing with the monthly report of Jeju power system operation result made by Korea Power Exchange-Jeju. |