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Application of optimized fractional grey model-based variable background value to predict electricity consumption

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成果类型:
期刊论文
作者:
Liu, Chong;Lao, Tongfei;Wu, Wen-Ze;Xie, Wanli
通讯作者:
WEN-ZE WU
作者机构:
[Liu, Chong] Inner Mongolia Agr Univ, Sch Sci, Hohhot 010018, Peoples R China.
[Lao, Tongfei] Northeastern Univ, Sch Sci, Shenyang 110819, Peoples R China.
[Wu, Wen-Ze] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
[Xie, Wanli] Nanjing Normal Univ, Inst EduInfo Sci & Engn, Nanjing 210097, Peoples R China.
通讯机构:
[WEN-ZE WU] S
School of Economics and Business Administration, Central China Normal University, Wuhan 430079, P. R. China
语种:
英文
关键词:
Fractional Accumulation;Background Value;OFAGM(1,1);Particle Swarm Optimization;Electricity Consumption
期刊:
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
ISSN:
0218-348X
年:
2021
卷:
29
期:
2
页码:
2150038
基金类别:
The authors appreciate the time of editors and the anonymous reviewers for reviewing our paper. This work was supported by the Fundamental Research Funds for the Central Universities of China (Grant No. 2019YBZZ062) and grants from the Postgraduate Research & Practice Innovation Program of Jiangsu Province (Grant No. KYCX20 1144).
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:
In recent years, the grey-based models with fractional accumulation have received extensive attention by scholars and have been widely used in various fields. However, the existing rough construction of the background value in the fractional grey model impairs its predictive performance to some extent. To address this problem, this paper reconstructs a dynamic background value for the fractional grey model by the composite integral median theorem, as a result, a novel fractional grey model-based variable background value (denoted as OFAGM(1,1) ...

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