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Modeling the economic dependence between town development policy and increasing energy effectiveness with neural networks. Case study: The town of Zielona Góra

Marta Skiba, Maria Mrówczyńska and Anna Bazan-Krzywoszańska

Applied Energy, 2017, vol. 188, issue C, 356-366

Abstract: Due to the changes in legal requirements, growth of energy consumption from different media and prices increase it is necessary to change the attitude of urban consumers. Achieving the objectives of energy policy in each country requires societies to consolidate the confidence that reducing the demand for energy will pay to each household. Creating a positive investment climate, promoting new models and the dissemination of good examples can also lead to economic growth through the use of low-carbon technologies. In many countries, including Poland, the high energy intensity of buildings is seen as a result of the use of low quality materials, low constructing awareness causing the low standard of residential buildings, which is the reason for forcing thermal renovations.

Keywords: Energy efficiency increase in housing; Multi-layer neural networks; Radial neural networks; Urban energy policy; Space policy; Energy poverty (search for similar items in EconPapers)
Date: 2017
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Handle: RePEc:eee:appene:v:188:y:2017:i:c:p:356-366