계절성과 온도를 고려한 일별 최대 전력 수요 예측 연구

Accurate electricity demand forecasting for daily peak load is essential for management and planning at electrical facilities. In this paper, we first, introduce the several time series models that forecast daily peak load and compare the forecasting performance of the models based on Mean Absolute...

Full description

Saved in:
Bibliographic Details
Published inŬngyong tʻonggye yŏnʼgu Vol. 27; no. 5; pp. 843 - 853
Main Authors 정상욱, Sang Wook Jung, 김삼용, Sa Hm Kim
Format Journal Article
LanguageKorean
Published 한국통계학회 2014
Subjects
CDD
daily peak load
HDD
MAPE
seasonality
Time Series models
계절성
난방지수
냉방지수
시계열 모형
일별 최대전력수요
냉방지수
Time Series models
CDD
일별 최대전력수요
daily peak load
난방지수
HDD
시계열 모형
MAPE
계절성
seasonality
Online AccessGet full text

Cover

More Information
Summary:Accurate electricity demand forecasting for daily peak load is essential for management and planning at electrical facilities. In this paper, we first, introduce the several time series models that forecast daily peak load and compare the forecasting performance of the models based on Mean Absolute Percentage Error(MAPE). The results show that the Reg-AR-GARCH model outperforms other competing models that consider Cool- ing Degree Day(CDD) and Heating Degree Day(HDD) as well as seasonal components.
Bibliography:The Korean Statistical Society
KISTI1.1003/JNL.JAKO201433752159638
ISSN:1225-066X
2383-5818