Rodyti trumpą aprašą

dc.contributor.authorKošeleva, Natalija
dc.contributor.authorRopaitė, Guoda
dc.date.accessioned2023-09-18T16:46:44Z
dc.date.available2023-09-18T16:46:44Z
dc.date.issued2017
dc.identifier.issn1877-7058
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116541
dc.description.abstractData generation has increased drastically over the past few years. Data management has also grown in importance because extracting the significant value out of a huge pile of raw data is of prime important thing to make different decisions. One of the important sectors nowadays is construction sector, especially building energy efficiency field. Collecting big amount of data, using different kinds of big data analysis can help to improve construction process from the energy efficiency perspective. This article reviews the understanding of Big Data, methods used for Big Data analysis and the main problems with Big Data in the field of energy.eng
dc.formatPDF
dc.format.extentp. 544-549
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScienceDirect
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.1016/j.proeng.2017.02.064
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:23033986/datastreams/MAIN/content
dc.subjectSD04 - Tvarus statinių gyvavimo ciklas / Sustainable lifecycle of the buildings
dc.titleBig data in building energy efficiency: understanding of big data and main challenges
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.accessRightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
dcterms.references12
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.enEnergy Efficiency
dc.subject.enBig Data
dc.subject.enCharacteristics of Big Data
dc.subject.enBig Data analysis
dc.subject.enConstruction
dc.subject.enWeb of Science
dcterms.sourcetitleProcedia Engineering. Modern Building Materials, Structures and Techniques, MBMST 2016
dc.description.volumeVol. 172
dc.publisher.nameElsevier
dc.publisher.cityAmsterdam
dc.identifier.doi000410919400070
dc.identifier.doi2-s2.0-85016299095
dc.identifier.doi10.1016/j.proeng.2017.02.064
dc.identifier.elaba23033986


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