FARIMA model‐based communication traffic anomaly detection in intelligent electric power substations-Reference-Cited by-同舟云学术

FARIMA model‐based communication traffic anomaly detection in intelligent electric power substations

Author:

Yang Qiang¹,Hao Weijie¹,Ge Leijiao²,Ruan Wei³,Chi Fujian⁴

Affiliation:

1. College of Electrical EngineeringZhejiang UniversityHangzhou310027People's Republic of China

2. School of Electrical Information and EngineeringTianjin UniversityTianjin300072People's Republic of China

3. College of Control Science and EngineeringZhejiang UniversityHangzhou310027People's Republic of China

4. State Grid Tianjin Electric Power CompanyTianjin300010People's Republic of China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

Reference27 articles.

1. IEC Communications Networks and Systems in Substations IEC 61850 2005

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