Short-Term Residential Load Forecasting Using 2-Step SARIMAX

被引：0
作者：
Taegon Kim
Minseok Jang
Hyun Cheol Jeong
Sung-Kwan Joo
机构：
[1] Korea University,The School of Electrical Engineering
来源：
Journal of Electrical Engineering & Technology | 2022年 / 17卷
关键词：
Residential load; SARIMAX; Forecasting; Time series; Clustering;
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：751 / 758
页数：7
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