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Development of an urban energy demand forecasting system to support environmentally friendly urban planning

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  • Yeo, In-Ae
  • Yoon, Seong-Hwan
  • Yee, Jurng-Jae

Abstract

This study proposes a new urban energy demand forecasting system that includes the following improvements: (a) a facility planning information database (DB), (b) an energy and planning statistics DB, and (c) an enhancement of the accuracy of the energy calculation method. Each of these improved aspects is involved in energy demand forecasting for urban planning. The results from this study are as follows.

Suggested Citation

  • Yeo, In-Ae & Yoon, Seong-Hwan & Yee, Jurng-Jae, 2013. "Development of an urban energy demand forecasting system to support environmentally friendly urban planning," Applied Energy, Elsevier, vol. 110(C), pages 304-317.
    • Handle: RePEc:eee:appene:v:110:y:2013:i:c:p:304-317
    DOI: 10.1016/j.apenergy.2013.04.065
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    References listed on IDEAS

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    15. Poggi, Francesca & Amado, Miguel, 2024. "The spatial dimension of energy consumption in cities," Energy Policy, Elsevier, vol. 187(C).
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    19. Chen, Han & Chen, Wenying, 2019. "Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China," Applied Energy, Elsevier, vol. 236(C), pages 1049-1061.

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