Risk Index Early-warning of Smart Grid Based on Neural Network

被引：0
|
作者：
Ji, Xiu [1 ]
Ji, Hui [2 ,3 ]
Yao, Qiang [4 ,5 ]
Wang, Ming-chen [1 ]
机构：
[1] Changchun Inst Technol, Distribut Automat Engn Res Ctr, Changchun, Jilin, Peoples R China
[2] Ji Lin Power Co, Jilin, Jilin, Peoples R China
[3] State Grid Jilin Prov Power Co, Jilin, Jilin, Peoples R China
[4] Yanbin Power Co, Yanbin, Jilin, Peoples R China
[5] State Grid Jilin Prov Power Co, Yanbin, Jilin, Peoples R China
来源：
2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2017年
关键词：
Smart grid; LVQ neural network; risk index; early warning model;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we first analyze and compare the common risk index forecasting methods, compare the advantages and disadvantages of various risk index forecasting methods, and combine the actual situation of intelligent grid Risk index to select the LVQ neural network prediction method as the risk index prediction method of this system. According to the actual demand of risk index system, an early warning index system is established, and the data of the early warning model are mainly used in Jilin City, and the method is validated and analyzed with the correlation degree of index. The experimental results show that the LVQ Neural network algorithm has achieved more excellent results.
引用
收藏
页码：1723 / 1727
页数：5
相关论文
共 50 条
  • [31] Study on Crisis Early-warning of Internet Rumors about Emergencies Based on BP Neural Network
    Zhou, Ying
    Zhang, Peng
    Lan, Yuexin
    Li, Haoqing
    PROCEEDINGS OF THE 7TH ANNUAL MEETING OF RISK ANALYSIS COUNCIL OF CHINA ASSOCIATION FOR DISASTER PREVENTION, 2016, 128 : 151 - 157
  • [32] Intelligent Early-warning System for Landslides Based on the ZigBee Network
    Xu, Jian
    Wang, Yuanhong
    Zhang, Yu
    Yang, Shushan
    2013 IEEE 11TH INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING (DASC), 2013, : 187 - 191
  • [33] Early-warning index for dam service behavior based on POT model
    Su, Huai-Zhi
    Wang, Feng
    Liu, Hong-Ping
    Shuili Xuebao/Journal of Hydraulic Engineering, 2012, 43 (08): : 974 - 978
  • [34] Research on Risk Early-Warning Model in Airport Flight Area based on Information Entropy Attribute Reduction and BP Neural Network
    Shi, Li
    Luo, Fan
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2015, 9 (10): : 313 - 322
  • [35] Establishment of Early-Warning Index Systems of International Fund-raising Scale Based On Early-Warning Indexes of Financial Affairs Failure
    Na Deng
    INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT (EBM2011), VOLS 1-6, 2011, : 495 - 498
  • [36] The research on the measurement and Early-warning of operational risk for commercial banks based on credal network analysis
    Liang, Lijun
    Ran, Lun
    Jia, XuJie
    Li, Zhixiang
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON RISK AND RELIABILITY MANAGEMENT, VOLS I AND II, 2008, : 92 - 97
  • [37] Early-warning model for icing power grid accident based on rough set
    Han, Yeliang
    Su, Guofeng
    Yuan, Hongyong
    Ma, Wei
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2010, 50 (12): : 1930 - 1933
  • [38] Intelligent Correction and Early-warning Application of COD On-line Monitoring Instrument Based on Neural Network
    Zhuang, Yan
    Ye, Yanliang
    Xue, Jian
    Han, Wenju
    2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2013, : 334 - 337
  • [39] A ROUGH FUZZY NEURAL NETWORKS MODEL WITH APPLICATION TO FINANCIAL RISK EARLY-WARNING
    Huang Fuyuan
    2014 11TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2014, : 130 - 134
  • [40] Bayesian network-based early-warning for leakage in recovery boilers
    Widarsson, Bjoern
    Dotzauer, Erik
    APPLIED THERMAL ENGINEERING, 2008, 28 (07) : 754 - 760
12345