Artificial neural networks for energy analysis of office buildings with daylighting

Applied Energy

Volumn 87, Issue 2, 2010, Pages 551-557

  Wong, S L ^a   Wan, Kevin K W ^a   Lam, Tony N T ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Artificial neural networks; Daylighting; Energy analysis; Office buildings; Optimisation

Indexed keywords

CLIMATE MODELS; COOLING SYSTEMS; DAYLIGHTING; ELECTRIC LIGHTING; ENERGY MANAGEMENT; ENERGY UTILIZATION; ERROR ANALYSIS; NEURAL NETWORKS; OFFICE BUILDINGS;

ARTIFICIAL NEURAL NETWORK MODELS; BUILDING ENERGY SIMULATIONS; BUILDING ENVELOPE DESIGN; COEFFICIENT OF VARIATION; DAILY GLOBAL SOLAR RADIATION; ENERGY ANALYSIS; OPTIMISATIONS; ROOT MEAN SQUARE ERRORS;

MEAN SQUARE ERROR;

ARTIFICIAL NEURAL NETWORK; BUILDING; COOLING; DATABASE; HEATING; LIGHTNING; OPTIMIZATION; SOLAR RADIATION;

EID: 75449093272     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2009.06.028     Document Type: Article

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