Diagnostic tools of energy performance for supermarkets using Artificial Neural Network algorithms

Energy and Buildings

Volumn 62, Issue , 2013, Pages 304-314

  Mavromatidis, Georgios ^a   Acha, Salvador ^a   Shah, Nilay ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Artificial neural networks; Diagnostics; Energy forecasting; Fault detection; Predicative maintenance; Supermarket energy use

Indexed keywords

ARTIFICIAL NEURAL NETWORK ALGORITHM; ARTIFICIAL NEURAL NETWORK MODELS; DEVELOPMENT AND APPLICATIONS; ELECTRICITY-CONSUMPTION; ENERGY FORECASTING; ENERGY USE; METHODOLOGY APPROACHES; PREDICATIVE MAINTENANCE;

ENERGY UTILIZATION; FAULT DETECTION; NEURAL NETWORKS; PLASMA DIAGNOSTICS;

RETAIL STORES;

EID: 84876132434     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2013.03.020     Document Type: Article

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