dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Koseleva, Natalija | |
dc.contributor.author | Ropaitė, Guoda | |
dc.date.accessioned | 2025-05-05T13:05:56Z | |
dc.date.available | 2025-05-05T13:05:56Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1877-7058 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/157504 | |
dc.description.abstract | Data 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. | en_US |
dc.format.extent | 6 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/157277 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source.uri | https://www.sciencedirect.com/science/article/pii/S1877705817305702 | en_US |
dc.subject | energy efficiency | en_US |
dc.subject | big data | en_US |
dc.subject | Characteristics of Big Data | en_US |
dc.subject | Big Data analysis | en_US |
dc.subject | construction | en_US |
dc.subject | Web of Science | en_US |
dc.title | Big data in building energy efficiency: understanding of big data and main challenges | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.license | CC BY NC ND | en_US |
dcterms.references | 12 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.type.pubtype | K1a - Monografija / Monograph | en_US |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | en_US |
dc.contributor.institution | Vilnius Gediminas Technical University | en_US |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | en_US |
dcterms.sourcetitle | Procedia Engineering | en_US |
dc.description.volume | vol. 172 | en_US |
dc.publisher.name | Elsevier | en_US |
dc.publisher.country | United Kingdom | en_US |
dc.publisher.city | Oxford | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.proeng.2017.02.064 | en_US |