DC FieldValueLanguage
dc.contributor.authorLinnenberg, Tobias-
dc.contributor.authorFay, Alexander-
dc.contributor.authorKaisers, Michael-
dc.date.accessioned2020-11-12T10:11:34Z-
dc.date.available2020-11-12T10:11:34Z-
dc.date.issued2015-
dc.identifier.citationEnthalten in: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence and the Twenty-Seventh Innovative Applications of Artificial Intelligence Conference, 25 - 30 January, Austin, Texas, USA ; Vol. 1: / Association for the Advancement of Artificial Intelligence. - Palo Alto, Calif. : AAAI Press, [2015] . - 2015, insges. 2 S.-
dc.identifier.isbn978-1-57735-699-8-
dc.descriptionProceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence and the Twenty-Seventh Innovative Applications of Artificial Intelligence Conference, 25 - 30 January, Austin, Texas, USA-
dc.description.sponsorshipAutomatisierungstechnik-
dc.language.isoeng-
dc.publisherAAAI Press-
dc.titleBottom-up Demand Response by Following Local Energy Generation Voluntarily-
dc.typeConference Object-
dc.relation.conference29th AAAI Conference on Artificial Intelligence-
dc.relation.conference27th Innovative Applications of Artificial Intelligence Conference-
dcterms.bibliographicCitation.originalpublisherplacePalo Alto, CA-
dcterms.bibliographicCitation.numberVol. 1-
local.submission.typeonly-metadata-
dc.type.conferenceObjectConference Paper-
hsu.opac.importopac-2015-
hsu.identifier.ppn884415872-
hsu.peerReviewed-
item.grantfulltextnone-
item.languageiso639-1en-
item.fulltext_sNo Fulltext-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
crisitem.author.deptAutomatisierungstechnik-
crisitem.author.orcid0000-0002-1922-654X-
crisitem.author.parentorgFakultät für Maschinenbau und Bauingenieurwesen-
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