Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis
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Title
Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis
Authors
Keywords
Urban building energy modeling, Top-down, Bottom-up, Data-driven, Energy modeling, UBEM, Energy efficiency, SWOT
Journal
ENERGY AND BUILDINGS
Volume 246, Issue -, Pages 111073
Publisher
Elsevier BV
Online
2021-05-26
DOI
10.1016/j.enbuild.2021.111073
References
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- Two models for benchmarking UK domestic delivered energy
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- Load prediction method for heat and electricity demand in buildings for the purpose of planning for mixed energy distribution systems
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