An Accelerated Edge Cloud System for Energy Data Stream Processing Based on Adaptive Incremental Deep Learning Scheme

An Accelerated Edge Cloud System for Energy Data Stream Processing Based on Adaptive Incremental Deep Learning Scheme

As smart metering technology evolves, power suppliers can make low-cost, low-risk estimation of customer-side power consumption by analyzing energy demand data collected in real-time. With advances network infrastructure, smart sensors, and various monitoring technologies, a standardized energy mete...

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Bibliographic Details
Main Authors: Seong-Hwan Kim, Changha Lee, Chan-Hyun Youn
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Accelerator scheduling
continual learning
deep learning acceleration
stream data processing
time-series prediction
incremental learning
Online Access:https://ieeexplore.ieee.org/document/9239387/

Internet

https://ieeexplore.ieee.org/document/9239387/

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