Title |
Short-term Electric Load Forecasting Using the Realtime Weather Information & Electric Power Pattern Analysis |
Authors |
김일주(Kim, Il-Ju) ; 이송근(Lee, Song-Keun) |
DOI |
https://doi.org/10.5370/KIEE.2016.65.6.934 |
Keywords |
KMA ; LabVIEW ; Temperature sensitivity ; Electric forecasting |
Abstract |
This paper made short-term electric load forecasting by using temperature data at three-hour intervals (9am, 12pm, 3pm, and 6pm) provided by the Korea Meteorological Administration (KMA). In addition, the electric power pattern was created using existing electric power data, and temperature sensitivity was derived using temperature and electric power data. We made power load forecasting program using LabVIEW, a graphic language. |