Optimal scheduling of smart homes' appliances for the minimization of energy cost under dynamic pricing
This paper focuses on the development of load scheduling algorithms applied to representative types of home appliances, in order to reduce the energy cost, in a context of fluctuating energy prices, based on user's requirements. The presented algorithms could be executed both in a centralized e...
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creator | Antonopoulos, C. P. Kapsalis, V. Hadellis, L. |
description | This paper focuses on the development of load scheduling algorithms applied to representative types of home appliances, in order to reduce the energy cost, in a context of fluctuating energy prices, based on user's requirements. The presented algorithms could be executed both in a centralized energy management system and in distributed low-cost load controllers. Respective analysis and evaluation provide significant insight, both concerning feasibility and flexibility of such approaches as well as potential cost reduction. |
doi_str_mv | 10.1109/ETFA.2012.6489708 |
format | Conference Proceeding |
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P.</creatorcontrib><creatorcontrib>Kapsalis, V.</creatorcontrib><creatorcontrib>Hadellis, L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Antonopoulos, C. P.</au><au>Kapsalis, V.</au><au>Hadellis, L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimal scheduling of smart homes' appliances for the minimization of energy cost under dynamic pricing</atitle><btitle>Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012)</btitle><stitle>ETFA</stitle><date>2012-09</date><risdate>2012</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>1946-0740</issn><eissn>1946-0759</eissn><isbn>9781467347358</isbn><isbn>1467347353</isbn><eisbn>9781467347372</eisbn><eisbn>146734737X</eisbn><eisbn>1467347361</eisbn><eisbn>9781467347365</eisbn><abstract>This paper focuses on the development of load scheduling algorithms applied to representative types of home appliances, in order to reduce the energy cost, in a context of fluctuating energy prices, based on user's requirements. The presented algorithms could be executed both in a centralized energy management system and in distributed low-cost load controllers. Respective analysis and evaluation provide significant insight, both concerning feasibility and flexibility of such approaches as well as potential cost reduction.</abstract><pub>IEEE</pub><doi>10.1109/ETFA.2012.6489708</doi><tpages>4</tpages></addata></record> |
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title | Optimal scheduling of smart homes' appliances for the minimization of energy cost under dynamic pricing |
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