A New CIGWO-Elman Hybrid Model for Power Load Forecasting

doi:10.1007/s42835-021-00928-w

IR > 理学院

	A New CIGWO-Elman Hybrid Model for Power Load Forecasting
	Hao, Jie 1,2; Zhu, Changsheng1 ; Guo, Xiuting1
	2022-03
发表期刊	JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
ISSN	1975-0102
卷号	17 期号:2 页码:1319-1333
摘要	Time series forecasting is a common task that needs to be implemented in many engineering applications. In this paper, for the power load forecasting problem, we explore the advantages of the grey wolf optimization (GWO) algorithm for Elman network optimization. To avoid model complexity, the structure of the Elman network is simplified to improve its training efficiency. Then, a chaotic sequence and random cosine function are introduced into the GWO algorithm. In addition, the updating methods of individual positions in the particle swarm optimization (PSO) algorithm and differential evolution (DE) algorithm are used as references for improving the GWO algorithm. The new chaotic cosine inertial weights GWO (CIGWO) algorithm is used to optimize the parameters of the Elman network, and the CIGWO-Elman network model is formed. Finally, CIGWO-Elman is applied to the actual load data of a city in eastern China to realize short-term power load prediction. The results show that the proposed model has better predictive accuracy and real-time performance than those of other methods.
关键词	Chaotic sequence CIGWO-Elman Feedback coefficient Inertia weight PSO Power load forecasting Random cosine function
DOI	10.1007/s42835-021-00928-w
收录类别	SCIE ; EI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000712343200005
出版者	SPRINGER SINGAPORE PTE LTD
EI入藏号	20214411092251
EI主题词	Particle swarm optimization (PSO)
EI分类号	723 Computer Software, Data Handling and Applications ; 731.1 Control Systems ; 921.3 Mathematical Transformations ; 921.5 Optimization Techniques
来源库	WOS
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/150078
专题	理学院计算机与通信学院
通讯作者	Hao, Jie
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730030, Peoples R China; 2.Northwest Minzu Univ, Sch Elect Engn, Lanzhou 730030, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Hao, Jie,Zhu, Changsheng,Guo, Xiuting. A New CIGWO-Elman Hybrid Model for Power Load Forecasting[J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY,2022,17(2):1319-1333.
APA	Hao, Jie,Zhu, Changsheng,&Guo, Xiuting.(2022).A New CIGWO-Elman Hybrid Model for Power Load Forecasting.JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY,17(2),1319-1333.
MLA	Hao, Jie,et al."A New CIGWO-Elman Hybrid Model for Power Load Forecasting".JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 17.2(2022):1319-1333.