Convolutional Neural Network-Based False Battery Data Detection and Classification for Battery Energy Storage Systems
-
- Overview
-
- Research
-
- Identity
-
- Additional Document Info
-
- Other
-
- View All
-
Overview
published proceedings
-
IEEE TRANSACTIONS ON ENERGY CONVERSION
author list (cited authors)
-
Lee, H., Kim, K., Park, J., Bere, G., Ochoa, J. J., & Kim, T.
citation count
publication date
publisher
Research
keywords
-
Batteries
-
Battery Energy Storage Systems
-
Circuit Faults
-
Communication Failure
-
Convolution
-
Convolutional Neural Network
-
Cyber-attacks
-
Data Models
-
Deep Learning
-
False Data Inject Attack
-
Fault Diagnosis
-
Safety
-
Sensor Fault
-
State Of Charge
-
Temperature Sensors
Identity
Digital Object Identifier (DOI)
Additional Document Info
start page
end page
volume
issue
Other
URL
-
http://dx.doi.org/10.1109/tec.2021.3061493
user-defined tag
-
7 Affordable and Clean Energy
