Development of an England-wide indoor overheating and air pollution model using artificial neural networks

Journal of Building Performance Simulation

Volumn 9, Issue 6, 2016, Pages 606-619

  Symonds, Phil ^a   Taylor, Jonathon ^a   Chalabi, Zaid ^a,b   Mavrogianni, Anna ^a   Davies, Michael ^a   Hamilton, Ian ^a   Vardoulakis, Sotiris ^c   Heaviside, Clare ^c   Macintyre, Helen ^c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

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

^c PUBLIC HEALTH ENGLAND   (United Kingdom)

Author keywords

indoor air pollution; machine learning; metamodelling; neural networks; overheating; stock modelling

Indexed keywords

AIR POLLUTION; ARTIFICIAL INTELLIGENCE; ENERGY EFFICIENCY; HOUSING; INDOOR AIR POLLUTION; LEARNING SYSTEMS; NEURAL NETWORKS; POLLUTION;

AIR POLLUTION MODELING; ENERGY EFFICIENT BUILDING; META-MODELLING; NEURAL NETWORKS (NNS); OCCUPANT BEHAVIOUR; OUTDOOR AIR POLLUTION; OVERHEATING; SUPPORT VECTOR REGRESSION (SVR);

CLIMATE MODELS;

EID: 84963632445     PISSN: 19401493     EISSN: 19401507     Source Type: Journal    
DOI: 10.1080/19401493.2016.1166265     Document Type: Article

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