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

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dc.contributor.authorRylatt, R. M.
dc.contributor.authorGadsden, Stuart
dc.contributor.authorLomas, K. J.
dc.date.accessioned2009-03-27T10:04:44Z
dc.date.available2009-03-27T10:04:44Z
dc.date.issued2003-05-01
dc.descriptionThe work described provided the platform on which subsequent successful EPSRC grant applications were based: the collaborative responsive mode project, Solar City: An Electrical Energy Supply and Demand Planning Tool for the Urban Environment (GR/N35687/01), which was rated by referees as Tending to Internationally Leading for its Research Quality and Scientific Impact; and Irradiation Mapping of 3D City Models for Building Integrated Photovoltaics: Feasibility Study (GR/R50509/01), which was rated by referees as Tending to Internationally Leading for its Research Quality and Internationally Leading for its Scientific Impact Aspects of the recently awarded consortium project Measurement, Modelling, Mapping and Management (4M): An Evidence-Based Methodology for Understanding and Shrinking the Urban Carbon Footprint (EP/F007604/1) also capitalise on the work. Gadsden's PhD work contributed to this paper. He was supervised by Rylatt, with Lomas as second supervisor. Rylatt was the lead author.en
dc.identifier.citationRylatt, R.M., Gadsen, S.J. and Lomas, K.J. (2003) Methods of predicting urban domestic energy demand with reduced datasets: a review and a new GIS-based approach. Building Services Engineering Research and Technology, 24 (2), pp. 93-102.en
dc.identifier.doihttps://doi.org/10.1191/0143624403bt061oa
dc.identifier.issn1477-0849
dc.identifier.urihttp://hdl.handle.net/2086/1470
dc.language.isoenen
dc.publisherSAGEen
dc.researchgroupInstitute of Energy and Sustainable Development
dc.subjectRAE 2008en
dc.subjectUoA 30 Architecture and the Built Environmenten
dc.titleMethods of predicting urban domestic energy demand with reduced datasets: a review and a new GIS-based approachen
dc.typeArticleen

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