Short-Term Residential Load Forecasting Using 2-Step SARIMAX

被引：7

作者：

Kim, Taegon ^{[1
]}

Jang, Minseok ^{[1
]}

Jeong, Hyun Cheol ^{[1
]}

Joo, Sung-Kwan ^{[1
]}

机构：

[1] Korea Univ, Sch Elect Engn, Seoul 02841, South Korea

来源：

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2022年 / 17卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

Residential load; SARIMAX; Forecasting; Time series; Clustering;

D O I：

10.1007/s42835-021-00917-z

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：751 / 758

页数：8

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