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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. 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, vol. 10(4), pages 1-15, April.
    4. Aksana Yarashynskaya & Piotr Prus, 2022. "Smart Energy for a Smart City: A Review of Polish Urban Development Plans," Energies, MDPI, vol. 15(22), pages 1-13, November.
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    6. Skiba, Marta & Mrówczyńska, Maria & Sztubecka, Małgorzata & Bazan-Krzywoszańska, Anna & Kazak, Jan K. & Leśniak, Agnieszka & Janowiec, Filip, 2021. "Probability estimation of the city’s energy efficiency improvement as a result of using the phase change materials in heating networks," Energy, Elsevier, vol. 228(C).
    7. Yong Qin & Zeshui Xu & Xinxin Wang & Marinko Skare, 2024. "Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1736-1770, March.
    8. 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, vol. 12(24), pages 1-34, December.
    9. Aleksandra Lewandowska & Justyna Chodkowska-Miszczuk & Krzysztof Rogatka & Tomasz Starczewski, 2020. "Smart Energy in a Smart City: Utopia or Reality? Evidence from Poland," Energies, MDPI, vol. 13(21), pages 1-19, November.
    10. 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.
    11. 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).
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