A Smart Autonomous Time- and Frequency-Domain Analysis Current Sensor-Based Power Meter Prototype Developed over Fog-Cloud Analytics for Demand-Side Management
Electrical energy management, or demand-side management (DSM), in a smart grid is very important for electrical energy savings. With the high penetration rate of the Internet of Things (IoT) paradigm in modern society, IoT-oriented electrical energy management systems (EMSs) in DSM are capable of sk...
Main Authors: | Yung-Yao Chen, Yu-Hsiu Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/20/4443 |
Similar Items
-
Design and Implementation of Cloud Analytics-Assisted Smart Power Meters Considering Advanced Artificial Intelligence as Edge Analytics in Demand-Side Management for Smart Homes
by: Yung-Yao Chen, et al.
Published: (2019-05-01) -
Cloud–Fog–Based Smart Grid Model for Efficient Resource Management
by: Saman Zahoor, et al.
Published: (2018-06-01) -
Fog computing at industrial level, architecture, latency, energy, and security: A review
by: Gustavo Caiza, et al.
Published: (2020-04-01) -
Fog Computing for Smart Cities’ Big Data Management and Analytics: A Review
by: Elarbi Badidi, et al.
Published: (2020-10-01) -
Optimizing Lifespan and Energy Consumption by Smart Meters in Green-Cloud-Based Smart Grids
by: Isma Farah Siddiqui, et al.
Published: (2017-01-01)