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Design and Implementation of Cloud Analytics-Assisted Smart Power Meters Considering Advanced Artificial Intelligence

Yung-Yao Chen1, Yu-Hsiu Lin2, Chia-Ching Kung3

  • 1Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei 106, Taiwan. yungyaochen@mail.ntut.edu.tw.

Sensors (Basel, Switzerland)
|May 5, 2019
PubMed
Summary

This study introduces a smart edge analytics-empowered power meter for smart homes, enabling real-time demand-side management (DSM) and reducing energy costs. The AI-driven prototype offers latency-sensitive insights for efficient energy use in smart grids.

Keywords:
Internet of thingsartificial intelligencecloud analyticsdemand-side managementedge/fog analyticselectrical energy managementsmart gridsmart homes/factoriessmart sensing

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