Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms

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Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms

Estimating residential building energy use across large spatial extents is vital for identifying and testing effective strategies to reduce carbon emissions and improve urban sustainability. This task is underpinned by the availability of accurate models of building stock from which appropriate para...

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Bibliographic Details
Main Authors:	Beck, A., Long, Gavin, Boyd, Doreen S., Rosser, Julian F., Morley, Jeremy, Duffield, Richard, Sanderson, M., Robinson, Darren
Format:	Article
Language:	English English
Published:	Sage 2020
Subjects:	Built environment geographical information systems urban form
Online Access:	https://eprints.nottingham.ac.uk/49693/

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