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dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorBazan-Krzywoszańska, Anna
dc.contributor.authorMrówczyńska, Maria
dc.contributor.authorSkiba, Marta
dc.contributor.authorSztubecka, Małgorzata
dc.date.accessioned2024-10-03T10:59:50Z
dc.date.available2024-10-03T10:59:50Z
dc.date.issued2017
dc.identifier.issn2029-7092en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154977
dc.description.abstractIn the world, in Europe, and also in Poland the use of energy is growing rapidly, causing concern about the difficulty of supply, a depletion of non-renewable energy resources and the increase in negative impacts on the environment (ozone depletion, global warming, climate change, etc. caused by increased emissions of CO2) (Balaras et al. 2005). Political or economic attempts to enforce climate change, through the increase in the price of fossil fuels, lead to exclusion and growth of energy poverty therefore they cause social effects (fossil fuels become so expensive that a large part of the population cannot afford their combustion). The ideal solution would be a combination of activities aimed at the energy modernization of cities with sustainable strategies of their rebuilding. The purpose of the article is a search for the optimal way of spatial policies at the local level that enable implementation of the objectives of the energy policy of the European Union. Factors affecting changes in the pollutant emissions associated with the combustion of fossil fuels, depending on the energy efficiency of selected buildings were modelled with a use of deduction based on radial neural networks. The observations presented in this article may be relevant for other regions that are interested in reducing polutant emission and energy consumption of buildings, housing estates and cities. Taking the geographical context into account, it is especially important for those regions which benefit from financial support of the European Union.en_US
dc.format.extent8 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154497en_US
dc.rightsAttribution-NonCommercial 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_US
dc.source.urihttp://enviro.vgtu.lt/index.php/enviro/2017/paper/view/360en_US
dc.subjecturban structureen_US
dc.subjectsustainable urban developmenten_US
dc.subjectthe local policyen_US
dc.subjectthe protection of the environmenten_US
dc.subjectneural networken_US
dc.titleSustainable urban development on the example of the housing deveopment of Zielona Góra (Poland), as a response to the climate policy of the European Unionen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.alternativeSustainable urban developmenten_US
dcterms.issued2017-04-28
dcterms.licenseCC BY NCen_US
dcterms.references29en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionUniversity of Zielona Góraen_US
dc.contributor.institutionUniversity of Technology and Life Sciences in Bydgoszczen_US
dcterms.sourcetitle10th International Conference “Environmental Engineering” (ICEE-2017)en_US
dc.identifier.eisbn9786094760440en_US
dc.identifier.eissn2029-7092en_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.identifier.doihttps://doi.org/10.3846/enviro.2017.119en_US


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Kūrybinių bendrijų licencija / Creative Commons licence
Except where otherwise noted, this item's license is described as Kūrybinių bendrijų licencija / Creative Commons licence