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Energy Status Recovery Using Recurrent SVR Framework With Data Loss Conditions
Kang Eun Jeon
*
, James She
*
, Simon Wong
*
Corresponding author for this work
CSE Information & Computing Technology
Sungkyunkwan University
Hong Kong University of Science and Technology
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Keyphrases
Data Loss
100%
Energy Status
100%
Recurrent Support Vector Regression
100%
Bluetooth Beacon
33%
Least Squares Support Vector Regression (LSSVR)
33%
Status Information
33%
Energy Data
16%
Solar Power
16%
Energy Storage
16%
Prediction Time
16%
Training Time
16%
Monitoring Method
16%
Energy Levels
16%
Battery Life
16%
Supercapacitor
16%
Recovery Framework
16%
Energy Loss
16%
Discharge Behavior
16%
On-site Data
16%
Status Monitoring
16%
Device Maintenance
16%
Data Loss Rate
16%
Computer Science
Support Vector Regression
100%
Bluetooth Low Energy
66%
Prediction Time
33%
Chemical Engineering
Support Vector Machine
100%