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A cognitive scheduling method for demand response ensured home energy management
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhao, Z. | - |
| dc.contributor.author | Choi, J. | - |
| dc.contributor.author | Park, K. | - |
| dc.contributor.author | Lee, W.C. | - |
| dc.date.available | 2019-04-10T10:34:36Z | - |
| dc.date.created | 2018-04-17 | - |
| dc.date.issued | 2013 | - |
| dc.identifier.isbn | 9781467359900 | - |
| dc.identifier.issn | 2165-8528 | - |
| dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32912 | - |
| dc.description.abstract | The emerging of the smart grid provides the residents with the opportunity to schedule the power usage in the home with the purpose of reducing the expense of the electricity. With this objective, we develop an optimal power scheduling method. In order to reduce the peak-to-average ratio (PAR) of the electricity consumers' power demand, a real time pricing (RTP) combined with inclining block rate (IBR) pricing model is also presented. The simulation results verifies that our proposed approach could reduce both the electricity cost and the PAR. © 2013 IEEE. | - |
| dc.relation.isPartOf | International Conference on Ubiquitous and Future Networks, ICUFN | - |
| dc.title | A cognitive scheduling method for demand response ensured home energy management | - |
| dc.type | Conference | - |
| dc.identifier.doi | 10.1109/ICUFN.2013.6614798 | - |
| dc.type.rims | CONF | - |
| dc.identifier.bibliographicCitation | 5th International Conference on Ubiquitous and Future Networks, ICUFN 2013, pp.137 - 138 | - |
| dc.description.journalClass | 2 | - |
| dc.identifier.scopusid | 2-s2.0-84891601655 | - |
| dc.citation.conferenceDate | 2013-07-02 | - |
| dc.citation.conferencePlace | Da Nang | - |
| dc.citation.endPage | 138 | - |
| dc.citation.startPage | 137 | - |
| dc.citation.title | 5th International Conference on Ubiquitous and Future Networks, ICUFN 2013 | - |
| dc.contributor.affiliatedAuthor | Lee, W.C. | - |
| dc.type.docType | Conference Paper | - |
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Related Researcher
- LEE, WON CHEOL
- College of Information Technology (Department of IT Convergence)