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Smart Houses in the Smart Grid: Developing an interactive network

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Mar 2014 Netherlands, Germany Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Electrification Magazine, volume 2, pages 81-93 (issn: 2325-5897, eissn: 2325-5889,

Authors: Dimeas, Aris L.; Drenkard, Stefan; Hatziargyriou, Nikos; Karnouskos, Stamatis; Kok, Koen; Ringelstein, Jan; Weidlich, Anke;

doi: 10.1109/mele.2013.2297032

Smart Houses in the Smart Grid: Developing an interactive network

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Abstract

Private households constitute a considerable share of Europe's electricity consumption. The current electricity distribution system treats them as effectively passive individual units. In the future, however, users of the electricity grid will be involved more actively in the grid operation and can become part of intelligent networked collaborations. They can then contribute the demand and supply flexibility that they dispose of and, as a result, help to better integrate renewable energy in-feed into the distribution grids. © 2014 IEEE.

Countries

Netherlands, Germany

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Keywords

Communication & Information, Informatics, Electricity-consumption, 330, Electricity distribution systems, Distribution grid, Electric utilities, Information Society, SEM - Service Enabling & Management, Smart power grids, Electricity grids, Gebäudeleittechnik, TS - Technical Sciences, Intelligentes Stromnetz, Infrastructures, Demand and supply, Integrate renewable energies, Private households, Networked collaboration

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	55
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%