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A novel discrete GM(2,1) model with a polynomial term for forecasting electricity consumption

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成果类型:
期刊论文
作者:
Zeng, Liang;Liu, Chong;Wu, Wen-Ze
通讯作者:
Wu, Wen-Ze(bsstatistics@126.com)
作者机构:
[Zeng, Liang] Guangdong Technol Coll, Sch Basic Courses, Zhaoqing 526100, Peoples R China.
[Liu, Chong] Northeastern Univ, Coll Sci, Shenyang 110819, Peoples R China.
[Wu, Wen-Ze] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
通讯机构:
[Wen-Ze Wu] S
School of Economics and Business Administration, Central China Normal University, Wuhan 430079, China
语种:
英文
关键词:
Grey model;Polynomial;Tikhonov regularization;Electricity consumption
期刊:
Electric Power Systems Research
ISSN:
0378-7796
年:
2023
卷:
214
页码:
108926
基金类别:
Colleges Innovation Project of Guangdong; Fundamental Research Funds for the Central Universities of China; [2018KTSCX276]; [30106220440]
机构署名:
本校为其他机构
院系归属:
经济与工商管理学院
摘要:
The forecast of electrical energy demand has played an increasingly relevant role in sustainable electrical power system. This paper develops a new method for forecasting China's per capita living electricity consumption by grey modelling technique. Considering the multiple and mixed change patterns, a novel discrete grey model with polynomial term (abbreviated as DGM(2,1,kn)) is proposed in this study. Firstly, the polynomial term is introduced into the discrete DGM(2,1) model. Secondly, the Tikhonov regularization method is employed to solve ...

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