Robust Bad Data Detection Method for Microgrid Using Improved ELM and DBSCAN Algorithm

Authors :: Xiaoming Zha
Xiaoqi Xiong
Heming Huang
Fei Liu
Meng Huang
Wenjun Liu
Tinghui Ouyang
Source :: Journal of Energy Engineering. 144
Publication Year :: 2018
Publisher :: American Society of Civil Engineers (ASCE), 2018.
Abstract: Bad data must be detected in the microgrid because they mislead the decision making of energy management systems (EMSs). The authors propose a robust detection approach that combines an imp...

Subjects :: DBSCAN
Renewable Energy, Sustainability and the Environment
Computer science
Energy management
020209 energy
Data detection
020208 electrical & electronic engineering
Energy Engineering and Power Technology
02 engineering and technology
computer.software_genre
Nuclear Energy and Engineering
0202 electrical engineering, electronic engineering, information engineering
Data mining
Microgrid
Waste Management and Disposal
computer
Civil and Structural Engineering

Tools