Title | ||
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An intelligent cloud-based energy management system using machine to machine communications in future energy environments |
Abstract | ||
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This paper proposes an intelligent cloud-based energy management system (iCEMS) using the M2M communications, considering the requirements of the future energy environment. We designed and implemented the iCEMS in the test bed. The proposed system reduces the power consumption of the test bed up to 22.5%. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/ICCE.2012.6162018 | ICCE |
Keywords | Field | DocType |
cloud computing,energy management systems,power consumption,power engineering computing,future energy environment,icems,intelligent cloud-based energy management system,machine to machine communication,power consumption reduction,test bed | Machine to machine,Computer science,Energy management system,Power consumption,Embedded system,Cloud computing | Conference |
ISSN | ISBN | Citations |
2158-3994 | 978-1-4577-0230-3 | 5 |
PageRank | References | Authors |
0.48 | 13 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jinsung Byun | 1 | 145 | 13.38 |
Youngil Kim | 2 | 53 | 2.62 |
Zion Hwang | 3 | 5 | 0.48 |
Sehyun Park | 4 | 269 | 36.03 |