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    A Perspective on Methods for Analysis of Measured Energy Data from Commercial Buildings

    Source: Journal of Solar Energy Engineering:;1998:;volume( 120 ):;issue: 003::page 150
    Author:
    D. E. Claridge
    DOI: 10.1115/1.2888063
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper provides a historical perspective on the methods used to analyze measured energy use in commercial buildings. It summarizes the capabilities and uncertainties of the regression methods used in most M&V applications today and the calibrated simulation approaches used for M&V, commissioning, and end-use disaggregation. The need for graphical indices is introduced and applications of artificial neural networks, Fourier series and spectral analysis methods for M&V and data acquisition are described.
    keyword(s): Structures , Simulation , Emission spectroscopy , Artificial neural networks , Energy consumption , Fourier series AND Data acquisition ,
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      A Perspective on Methods for Analysis of Measured Energy Data from Commercial Buildings

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    http://yetl.yabesh.ir/yetl1/handle/yetl/121074
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    contributor authorD. E. Claridge
    date accessioned2017-05-08T23:57:43Z
    date available2017-05-08T23:57:43Z
    date copyrightAugust, 1998
    date issued1998
    identifier issn0199-6231
    identifier otherJSEEDO-28279#150_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/121074
    description abstractThis paper provides a historical perspective on the methods used to analyze measured energy use in commercial buildings. It summarizes the capabilities and uncertainties of the regression methods used in most M&V applications today and the calibrated simulation approaches used for M&V, commissioning, and end-use disaggregation. The need for graphical indices is introduced and applications of artificial neural networks, Fourier series and spectral analysis methods for M&V and data acquisition are described.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Perspective on Methods for Analysis of Measured Energy Data from Commercial Buildings
    typeJournal Paper
    journal volume120
    journal issue3
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.2888063
    journal fristpage150
    journal lastpage155
    identifier eissn1528-8986
    keywordsStructures
    keywordsSimulation
    keywordsEmission spectroscopy
    keywordsArtificial neural networks
    keywordsEnergy consumption
    keywordsFourier series AND Data acquisition
    treeJournal of Solar Energy Engineering:;1998:;volume( 120 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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