Research on Bad Data Detection in Power Grid Based on Improved Algorithm-Reference-Cited by-同舟云学术

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Research on Bad Data Detection in Power Grid Based on Improved Algorithm

Published:2024-05-24 Issue: Volume:1 Page:44-47
ISSN:
Container-title:2024 2nd International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)
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Author:

Li Chaorui¹,Zhou Ming²,Zhang Tongyan³,Zhu Zhengyu⁴,Liu Xiaodong⁵

Affiliation:

1. State Grid Xiangyang Electric Power Supply Company,Xiangyang,441000

2. State Grid Hubei Electric Power Co.Ltd,Wuhan,430077

3. State Grid Hubei Economic Research Institute,Wuhan,430077

4. State Grid Jingzhou Electric Power Supply Company,Jinzhou,434000

5. State Grid Huangshi Power Supply Company,Huangshi,435000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10669662/10669609/10669710.pdf?arnumber=10669710

Reference16 articles.

1. Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method

2. Residential responses to service-specific electricity demand: Case of China

3. Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?

4. Role of demand response in the decarbonisation of China's power system

5. Multi-objective cost-effective optimization for defending against false data injection attacks in power system operation

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