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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

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  • Skiba, Marta
  • Mrówczyńska, Maria
  • Bazan-Krzywoszańska, Anna

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.

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  • Skiba, Marta & Mrówczyńska, Maria & Bazan-Krzywoszańska, Anna, 2017. "Modeling the economic dependence between town development policy and increasing energy effectiveness with neural networks. Case study: The town of Zielona Góra," Applied Energy, Elsevier, vol. 188(C), pages 356-366.
  • Handle: RePEc:eee:appene:v:188:y:2017:i:c:p:356-366
    DOI: 10.1016/j.apenergy.2016.12.006
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    3. Maria Mrówczyńska & Marta Skiba & Anna Bazan-Krzywoszańska & Dorota Bazuń & Mariusz Kwiatkowski, 2018. "Social and Infrastructural Conditioning of Lowering Energy Costs and Improving the Energy Efficiency of Buildings in the Context of the Local Energy Policy," Energies, MDPI, Open Access Journal, vol. 11(9), pages 1-16, September.
    4. Jan K. Kazak, 2018. "The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)," Sustainability, MDPI, Open Access Journal, vol. 10(4), pages 1-15, April.
    5. Xiaoxia Gao & Lu Xia & Lin Lu & Yonghua Li, 2019. "Analysis of Hong Kong’s Wind Energy: Power Potential, Development Constraints, and Experiences from Other Countries for Local Wind Energy Promotion Strategies," Sustainability, MDPI, Open Access Journal, vol. 11(3), pages 1-20, February.
    6. Kazak, Jan & van Hoof, Joost & Szewranski, Szymon, 2017. "Challenges in the wind turbines location process in Central Europe – The use of spatial decision support systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 425-433.
    7. Mrówczyńska, Maria & Skiba, Marta & Bazan-Krzywoszańska, Anna & Sztubecka, Małgorzata, 2020. "Household standards and socio-economic aspects as a factor determining energy consumption in the city," Applied Energy, Elsevier, vol. 264(C).
    8. Jan K. Kazak & Małgorzata Świąder, 2018. "SOLIS—A Novel Decision Support Tool for the Assessment of Solar Radiation in ArcGIS," Energies, MDPI, Open Access Journal, vol. 11(8), pages 1-12, August.
    9. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Olena Zahoretska & Myroslava Kusiy & Roman Lesyk & Lilia Lesyk, 2019. "Changes in Energy Consumption, Economic Growth and Aspirations for Energy Independence: Sectoral Analysis of Uses of Natural Gas in Ukrainian Economy," Energies, MDPI, Open Access Journal, vol. 12(24), pages 1-34, December.

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