The Linkage Analysis of Electric Load Characteristic Statistical Indexes Based on VAR

Author:

Zhou Xie1,Ma Rui1,Liu Dao Xin1,Wang Zi Jian1,Wang Jun1,Xu Hui Ming1,Wang Xi Liang1

Affiliation:

1. Changsha University of Science and Technology

Abstract

Based on the present problems existed in electric load characteristic statistical indexes, a correlation analysis method for load characteristic statistical indexes is proposed in this paper. Low-level correlation indexes are extracted by using correlation analysis, then the linkage analysis theory in econometrics is applied and the load characteristic indexes are analyzed by using vector auto-regression model. The Synchronous movement trend and causal leading relationship among electric load characteristic indexes are confirmed by co-integration test and granger-casualty analysis. The purpose of this paper is to help power decision makers grasp the alteration situation of load characteristic indexes comprehensively and analyze correlation indexes accurately, so it can enhance the monitoring, forecasting and early-warning function of electric system.

Publisher

Trans Tech Publications, Ltd.

Reference10 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3