版权说明 操作指南
首页 > 成果 > 详情

Application of a novel fractional grey prediction model with time power term to predict the electricity consumption of India and China

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Liu, Chong;Wu, Wen-Ze*;Xie, Wanli;Zhang, Jun
通讯作者:
Wu, Wen-Ze
作者机构:
[Liu, Chong; Zhang, Jun] Inner Mongolia Agr Univ, Sch Sci, Hohhot 010018, 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:
[Wu, Wen-Ze] C
Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Electricity consumption;FPGM(1,1,t(alpha));Metabolic mechanism;Quantum genetic algorithm (QGA)
期刊:
CHAOS SOLITONS & FRACTALS
ISSN:
0960-0779
年:
2020
卷:
141
页码:
110429
基金类别:
Fundamental Research Funds for the Central Universities of ChinaFundamental Research Funds for the Central Universities [2019YBZZ062]; Postgraduate Research & Practice Innovation Program of Jiangsu Province [KYCX20_1144]
机构署名:
本校为通讯机构
院系归属:
经济与工商管理学院
摘要:
As one of the most important energy sources, electricity plays an important role in power system and is the main driving force for the development of the country and society. Accurately forecasting electricity consumption is of significance of the power system and market. For this, a novel fractional grey polynomial model with time power term (denoted as FPGM(1,1,tα)) is developed for forecasting electricity consumption of India and China, in which the grey polynomial model is optimized by combining time power term and fractional accumulation,...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com