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
收藏
页码：751 / 758
页数：8
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