Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15068
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dc.contributor.authorJANSSENS, Davy-
dc.contributor.authorGianotti, Fosca-
dc.contributor.authorNanni, Mirco-
dc.contributor.authorPedreschi, Dino-
dc.contributor.authorRinzivillo, Salvatore-
dc.date.accessioned2013-04-16T14:19:26Z-
dc.date.available2013-04-16T14:19:26Z-
dc.date.issued2012-
dc.identifier.citationKünstliche Intelligenz, 26 (3), p. 275-278-
dc.identifier.issn0933-1875-
dc.identifier.urihttp://hdl.handle.net/1942/15068-
dc.description.abstractThe vision and scientific challenges presented in this paper are the objectives of the FET-FP7 project DATASIM. The project aims at providing an entirely new and highly detailed spatio-temporal microsimulation methodology for human mobility, grounded on massive amounts of big data of various types and from various sources, with the goal to forecast the nation-wide consequences of a massive switch to electric vehicles, given the intertwined nature of mobility and power distribution networks.-
dc.language.isoen-
dc.titleData Science for Simulating the Era of Electric Vehicles-
dc.typeJournal Contribution-
dc.identifier.epage278-
dc.identifier.issue3-
dc.identifier.spage275-
dc.identifier.volume26-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.identifier.vabbc:vabb:340429-
dc.identifier.doi10.1007/s13218-012-0183-6-
item.fulltextNo Fulltext-
item.contributorJANSSENS, Davy-
item.contributorGianotti, Fosca-
item.contributorNanni, Mirco-
item.contributorPedreschi, Dino-
item.contributorRinzivillo, Salvatore-
item.accessRightsClosed Access-
item.fullcitationJANSSENS, Davy; Gianotti, Fosca; Nanni, Mirco; Pedreschi, Dino & Rinzivillo, Salvatore (2012) Data Science for Simulating the Era of Electric Vehicles. In: Künstliche Intelligenz, 26 (3), p. 275-278.-
item.validationvabb 2014-
crisitem.journal.issn0933-1875-
crisitem.journal.eissn1610-1987-
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