Can we improve the identification of cold homes for targeted home energy-efficiency improvements?

Applied Energy

Volumn 83, Issue 11, 2006, Pages 1198-1209

  Hutchinson, Emma J ^a,c   Wilkinson, Paul ^a,c   Hong, Sung H ^b,c   Oreszczyn, Tadj ^b,c  

^a LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c SHEFFIELD HALLAM UNIVERSITY   (United Kingdom)

Author keywords

Energy efficiency; Indoor temperature; Prediction; Targeting

Indexed keywords

ENERGY EFFICIENCY; MATHEMATICAL MODELS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; TEMPERATURE DISTRIBUTION;

HOME HEATING; INDOOR-TEMPERATURE; PREDICTION; TARGETING;

CLIMATE CONTROL;

CLIMATE CONTROL; ENERGY EFFICIENCY; MATHEMATICAL MODELS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; TEMPERATURE DISTRIBUTION;

AIR TEMPERATURE; ANALYTICAL METHOD; ENERGY BUDGET; HOME RANGE; HOUSEHOLD INCOME; INDOOR AIR; LOGISTICS; SEASONAL VARIATION; STANDARDIZATION; SURVEY;

BIRMINGHAM [ENGLAND]; ENGLAND; EURASIA; EUROPE; LIVERPOOL [ENGLAND]; MANCHESTER [ENGLAND]; NEWCASTLE UPON TYNE [ENGLAND]; NEWCASTLE UPON TYNE [NEWCASTLE UPON TYNE (DST)]; SOUTHAMPTON [ENGLAND]; UNITED KINGDOM; WESTERN EUROPE;

EID: 33747170824     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2006.01.007     Document Type: Article

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