| Title |
Development of Daily Peak Power Demand Forecasting Algorithm using ELM |
| Authors |
지평식(Ji, Pyeong-Shik) ; 김상규(Kim, Sang-Kyu) ; 임재윤(Lim, Jae-Yoon) |
| DOI |
https://doi.org/10.5370/KIEEP.2013.62.4.169 |
| Keywords |
ELM ; Neural networks ; Peak power ; Power demand |
| Abstract |
Due to the increase of power consumption, it is difficult to construct an accurate prediction model for daily peak power demand. It is very important work to know power demand in next day to manage and control power system. In this research, we develop a daily peak power demand prediction method based on Extreme Learning Machine(ELM) with fast learning procedure. Using data sets between 2006 and 2010 in Korea, the proposed method has been intensively tested. As the prediction results, we confirm that the proposed method makes it possible to effective estimate daily peak power demand than conventional methods. |