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Modelling and assessing the impacts of self supply and market-revenue driven Virtual Power Plants

descriptionPublicationkeyboard_double_arrow_right Article , Research , Journal , Report 01 Feb 2015 Spain Publisher:Elsevier BVJournal:Electric Power Systems Research, volume 119, pages 462-470 (issn: 0378-7796,

Authors: Dietrich, Kristin; Latorre Canteli, Jesús María; Olmos Camacho, Luis; Ramos Galán, Andrés;

doi: 10.1016/j.epsr.2014.10.015

handle: 11531/14237 , 11531/4861

Modelling and assessing the impacts of self supply and market-revenue driven Virtual Power Plants

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Abstract

info:eu-repo/semantics/draft

Country

Spain

Related Organizations

Comillas Pontifical University
Spain
Comillas Pontifical University
Spain

Keywords

330, 000, 620

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).	67
	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%