A trigonometric grey prediction approach to forecasting electricity demand

被引：196

作者：

Zhou, P. ^{[1
]}

Ang, B. W. ^{[1
]}

Poh, K. L. ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Ind & Syst Engn, Singapore 119260, Singapore

来源：

ENERGY | 2006年 / 31卷 / 14期

关键词：

electricity demand; forecasting; grey system theory; the GM(1,1) model;

D O I：

10.1016/j.energy.2005.12.002

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Electricity demand forecasting plays an important role in electricity systems expansion planning. In this paper, we present a trigonometric grey prediction approach by combining the traditional grey model GM(1, 1) with the trigonometric residual modification technique for forecasting electricity demand. Our approach helps to improve the forecasting accuracy of the GM(1, 1) and allows a reasonable grey prediction interval to be obtained. Two case studies using the data of China are presented to demonstrate the effectiveness of our approach. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：2839 / 2847

页数：9

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