Evaluation of Electric Network Intelligence Developing Level Based on SVM Method

被引：0

作者：

Niu, Dongxiao ^{[1
]}

Tang, Hui ^{[1
]}

Wang, Jianjun ^{[1
]}

机构：

[1] N China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China

来源：

PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II | 2010年

关键词：

electric power grid; intelligence; developing level; support vector machines; evaluation;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The construction of a strong smart grid is an inevitable trend of China's power grid development. It is not only conducive to the power grid construction itself, but also benefits the whole electric power industrial development, sustainable development and social harmony and stable development. This paper gives the electric network intelligence developing level evaluation system from the basis size, technology support capability and intelligent application results of smart grid, and the support vector machines (SVM) classification model is used to evaluate the level. Comparing with BP evaluation model, the experimental results show that SVM has better performance than BP, it is more suitable for the evaluation.

引用

页码：201 / 204

页数：4

共 50 条

[31] A prediction method of network security situation based on QPSO-SVM
Zhang J.-A.
Luo H.
1600, North Atlantic University Union NAUN (14): : 815 - 820
[32] Evaluation method of fuzzy reliability in electric power network planning
Zhang, Yan
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2000, 20 (11): : 77 - 80
[33] Reliability Evaluation of Distribution Network with Electric Vehicles and Distributed Generations Based on Network Equivalence and Sequential Monte Carlo Method
Wang, Haipeng
Li, Kaiwen
Liu, Zixuan
He, Yuling
Wang, Xiaolong
Sun, Kai
Yang, Peng
JOURNAL OF ENERGY ENGINEERING, 2024, 150 (04)
[34] Two-level feature selection method based on SVM for intrusion detection
Wu, Xiao-Nian
Peng, Xiao-Jin
Yang, Yu-Yang
Fang, Kun
Tongxin Xuebao/Journal on Communications, 2015, 36 (04):
[35] PCA-SVM-based evaluation for Investment Value on Electric Power Listed Firms
Sun, Wei
Li, Shan
PROCEEDINGS OF THE 2007 CONFERENCE ON SYSTEMS SCIENCE, MANAGEMENT SCIENCE AND SYSTEM DYNAMICS: SUSTAINABLE DEVELOPMENT AND COMPLEX SYSTEMS, VOLS 1-10, 2007, : 1907 - 1912
[36] An Evaluation Method on Radar Emitter Signal Recognition Effect Based on SVM
Han, Jun
Tang, Xiaojie
Tang, Zhikai
Du, Juan
2018 5TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2018, : 700 - 704
[37] A Study of Supplier Selection Method Based on SVM for Weighting Expert Evaluation
Zhao, Li
Qi, Wenjing
Zhu, Meihong
DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
[38] Method of estimating the state of charge of a battery electric vehicle based on RS-SVM
Niu, Guocheng
Hu, Bongmei
Bai, Jing
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING, 2015, 124 : 2035 - 2040
[39] Recognition Method of Braking Intention of Electric Vehicles Based on ABC-SVM Algorithm
Li X.
Zhang X.
Zhang, Xiangwen (zxw@guet.edu.cn), 1600, Chinese Mechanical Engineering Society (32): : 2125 - 2135
[40] Network attack prediction method based on threat intelligence for IoT
Zhang, Hongbin
Yi, Yuzi
Wang, Junshe
Cao, Ning
Duan, Qiang
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (21) : 30257 - 30270

← 1 2 3 4 5 →