Framework for Mapping and Optimizing the Solar Rooftop Potential of Buildings in Urban Systems

Framework for Mapping and Optimizing the Solar Rooftop Potential of Buildings in Urban Systems

The accurate prediction of the solar energy that can be generated using the rooftops of buildings is an essential tool for many researchers, decision makers, and investors for creating sustainable cities and societies. This study is focused on the development of an automated method to extract the us...

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Bibliographic Details
Main Authors: Nima Narjabadifam, Mohammed Al-Saffar, Yongquan Zhang, Joseph Nofech, Asdrubal Cheng Cen, Hadia Awad, Michael Versteege, Mustafa Gül
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Energies
Subjects:
roof identification
roof classification
computer vision
mapping
optimizing
solar rooftop potential
Online Access:https://www.mdpi.com/1996-1073/15/5/1738

Internet

https://www.mdpi.com/1996-1073/15/5/1738

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