Short-Term Residential Load Forecasting Using 2-Step SARIMAX

Autor:	Hyun Cheol Jeong, Minseok Jang, Taegon Kim, Sung-Kwan Joo
Rok vydání:	2021
Předmět:	Load forecasting Econometrics Environmental science Interval (mathematics) Electrical and Electronic Engineering Term (time)
Zdroj:	Journal of Electrical Engineering & Technology. 17:751-758
ISSN:	2093-7423 1975-0102
DOI:	10.1007/s42835-021-00917-z
Popis:	In contrast to city-level and larger aggregate-level load forecasting, load forecasting for residential customers is a much more challenging problem because residential loads are much more volatile. In order to forecast the residential load at one-hour interval 24-h loads the day before, a 2-Step SARIMAX method for residential load forecasting is proposed in this study. The forecasting performance of the proposed method is compared with the existing forecasting methods including SARIMA.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f5341b1b8a07daeedc2c49ba003dc1b5 https://doi.org/10.1007/s42835-021-00917-z Zobrazit plný text záznamu Full text from SpringerLink