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

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Bibliographic Details
Published inEnergy and buildings Vol. 62; pp. 304 - 314
Main Authors Mavromatidis, Georgios, Acha, Salvador, Shah, Nilay
Format Journal Article
LanguageEnglish
Published Oxford Elsevier 01.07.2013
Subjects
Applied sciences
Building technical equipments
Buildings
Buildings. Public works
Commercial building
Computation methods. Tables. Charts
Energy management and energy conservation in building
Environmental engineering
Exact sciences and technology
Structural analysis. Stresses
Types of buildings
United Kingdom
Europe
Performance evaluation
Energy analysis
Diagnostics
Supermarket
Artificial neural networks
Neural network
Forecast model
Modeling
Predictive maintenance
Case study
Predicative maintenance
Fault detection
Diagnosis
Supermarket energy use
Energy forecasting
Defect detection
Online AccessGet full text
ISSN0378-7788
1872-6178
DOI10.1016/j.enbuild.2013.03.020

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ISSN:0378-7788
1872-6178
DOI:10.1016/j.enbuild.2013.03.020
  • ikona citování Cite this
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  • ikona export Export Record
    • Export to CitacePRO
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
    • Export to RIS
  • ikona email Email this
  • ikona permanent link Permanent link

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