24 hour load forecasting using combined very-short-term and short-term multi-variable time-series model

被引：1

作者：

Lee W. ^{[1
]}

Lee M. ^{[2
]}

Kang B.-O. ^{[3
]}

Jung J. ^{[1
]}

机构：

[1] Dept. of Energy System Research, Ajou University

[2] Dept. of Energy Science, Sungkyunkwan University

[3] Dept. of Electric Engineering, Dong-a University

来源：

Jung, Jaesung (jjung@ajou.ac.kr) | 1600年 / Korean Institute of Electrical Engineers卷 / 66期

关键词：

24 hour load forecasting; Combined multi-variate time-series model; Multi-variate time-series model; Short-term load forecasting; Very-short-term load forecasting;

D O I：

10.5370/KIEE.2017.66.3.493

中图分类号：

学科分类号：

摘要：

This paper proposes a combined very-short-term and short-term multi-variate time-series model for 24 hour load forecasting. First, the best model for very-short-term and short-term load forecasting is selected by considering the least error value, and then they are combined by the optimal forecasting time. The actual load data of industry complex is used to show the effectiveness of the proposed model. As a result the load forecasting accuracy of the combined model has increased more than a single model for 24 hour load forecasting. Copyright © The Korean Institute of Electrical Engineers.

引用

页码：493 / 499

页数：6

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