Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.energy.2005.12.002
Title: A trigonometric grey prediction approach to forecasting electricity demand
Authors: Zhou, P. 
Ang, B.W. 
Poh, K.L. 
Keywords: Electricity demand
Forecasting
Grey system theory
The GM(1,1) model
Issue Date: Nov-2006
Citation: Zhou, P., Ang, B.W., Poh, K.L. (2006-11). A trigonometric grey prediction approach to forecasting electricity demand. Energy 31 (14) : 2503-2511. ScholarBank@NUS Repository. https://doi.org/10.1016/j.energy.2005.12.002
Abstract: 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. © 2005 Elsevier Ltd. All rights reserved.
Source Title: Energy
URI: http://scholarbank.nus.edu.sg/handle/10635/62979
ISSN: 03605442
DOI: 10.1016/j.energy.2005.12.002
Appears in Collections:Staff Publications

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