Forecasting Energy Consumption of Institutional Buildings in Singapore

Procedia Engineering

Volumn 121, Issue , 2015, Pages 1734-1740

  Deb, Chirag ^a   Eang, Lee Siew ^a   Yang, Junjing ^a   Santamouris, Mattheos ^a,b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b UNIVERSITY OF ATHENS   (Greece)

Author keywords

Energy forecasting; Institutional buildings; Machine learning tools; Prediction models

Indexed keywords

AIR CONDITIONING; ARTIFICIAL INTELLIGENCE; BUILDINGS; COOLING; ENERGY UTILIZATION; FORECASTING; FUZZY INFERENCE; LEARNING SYSTEMS; NEURAL NETWORKS; SOCIETIES AND INSTITUTIONS;

ADAPTIVE NEURO-FUZZY; CORRELATION COEFFICIENT; ENERGY FORECASTING; FORECASTING MODELING; INSTITUTIONAL BUILDING; PREDICTION MODEL; TRAINING AND TESTING; UNIVERSITY CAMPUS;

ENERGY CONSERVATION;

EID: 84957926958     PISSN: None     EISSN: 18777058     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2015.09.144     Document Type: Conference Paper

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