Methods of predicting urban domestic energy demand with reduced datasets: a review and a new GIS-based approach

This paper reviews existing bottom-up approaches to the urban scale prediction of domestic energy demand and introduces a new approach based on Geographical Information Systems (GIS). It describes how software tools can be used to derive predictors from the plan form of dwellings extracted from digi...

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Bibliographic Details

Main Authors:	Mark Rylatt, Stuart J. Gadsden, Kevin Lomas
Format:	Default Article
Published:	2003
Subjects:	Other built environment and design not elsewhere classified untagged Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/12411
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