E3S Web Conf.
Volume 10, 20161st International Conference on the Sustainable Energy and Environment Development (SEED 2016)
|Number of page(s)||9|
|Published online||17 October 2016|
Modelling changes in the energy efficiency of buildings using neural networks on the example of Zielona Góra
1 State School of Higher Professional Education in Sulechów, Institute of Law and Tourism, 66-100 Sulechów, Armii Krajowej 51, Poland
2 University of Zielona Góra, Faculty of Civil Engineering, Architecture and Environmental Engineering, 65-417 Zielona Góra, Licealna 9, Poland
a Corresponding author: M.Skiba@aiu.uz.zgora.pl
The objective of this article is to find a way to pursue optimum spatial policy on the local level to meet the assumptions of the energy policy of the European Union. One of the possible ways of developing energy efficient civil engineering is varied town policy and programmes supporting energy efficient buildings. And the second is the use of renewable energy sources as a factor improving the energy safety of built areas and reducing the emission of greenhouse gases. And the third is the optimization of expenditure on these goals in towns. Although our current research and estimations based on it are limited to a medium-sized town in the west of Poland, the observations included in this article may be important for other regions that are interested in reducing energy consumption in buildings, residential areas and towns. Taking into account the geographical context, it is especially important for these regions of Europe that are obtaining financial aid from the European Union in the perspective for the years 2014-2020.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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