A new method of generating extreme building energy year and its application
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DOI: 10.1016/j.energy.2023.128020
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References listed on IDEAS
- Li, Honglian & Yang, Yi & Lv, Kailin & Liu, Jing & Yang, Liu, 2020. "Compare several methods of select typical meteorological year for building energy simulation in China," Energy, Elsevier, vol. 209(C).
- Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
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Cited by:
- Piotr Narowski & Dariusz Heim & Maciej Mijakowski, 2024. "New External Design Temperatures and Geospatial Models for Poland and Central Europe for Building Heat Load Calculations," Energies, MDPI, vol. 17(16), pages 1-21, August.
- Li, Honglian & He, Xi & Hu, Yao & Lv, Wen & Yang, Liu, 2024. "Research on the generation method of missing hourly solar radiation data based on multiple neural network algorithm," Energy, Elsevier, vol. 287(C).
- Zhang, Wenhao & Li, Honglian & Wang, Mengli & Lv, Wen & Huang, Jin & Yang, Liu, 2024. "Enhancing typical Meteorological Year generation for diverse energy systems: A hybrid Sandia-machine learning approach," Renewable Energy, Elsevier, vol. 225(C).
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Keywords
Extreme building energy year; Typical meteorological year; Building energy consumption; Extreme weather; Building energy efficiency;All these keywords.
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