Constructing large scale surrogate models from big data and artificial intelligence

Edwards, Richard E.; New, Joshua; Parker, Lynne E.; Cui, Borui; Dong, Jin

doi:10.1016/j.apenergy.2017.05.155

Title: Constructing large scale surrogate models from big data and artificial intelligence

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Authors:

Edwards, Richard E.;

; Parker, Lynne E.;

; Dong, Jin

Publication Date:: Fri Sep 01 00:00:00 EDT 2017

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

OSTI Identifier:: 1550282

Grant/Contract Number:: BT0305000; AC05-00OR22725; DEAC05-00OR22725

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Applied Energy

Additional Journal Information:: Journal Name: Applied Energy Journal Volume: 202 Journal Issue: C; Journal ID: ISSN 0306-2619

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Edwards, Richard E., New, Joshua, Parker, Lynne E., Cui, Borui, and Dong, Jin. Constructing large scale surrogate models from big data and artificial intelligence.  United Kingdom: N. p., 2017. 
Web.  doi:10.1016/j.apenergy.2017.05.155.

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                    Edwards, Richard E., New, Joshua, Parker, Lynne E., Cui, Borui, & Dong, Jin. Constructing large scale surrogate models from big data and artificial intelligence.  United Kingdom.  https://doi.org/10.1016/j.apenergy.2017.05.155

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                    Edwards, Richard E., New, Joshua, Parker, Lynne E., Cui, Borui, and Dong, Jin. Fri .  
"Constructing large scale surrogate models from big data and artificial intelligence".  United Kingdom.  https://doi.org/10.1016/j.apenergy.2017.05.155.

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@article{osti_1550282,

  title        = {Constructing large scale surrogate models from big data and artificial intelligence},

  author       = {Edwards, Richard E. and New, Joshua and Parker, Lynne E. and Cui, Borui and Dong, Jin},

  abstractNote = {},

  doi          = {10.1016/j.apenergy.2017.05.155},

  journal      = {Applied Energy},

  number       = C,

  volume       = 202,

  place        = {United Kingdom},

  year         = {Fri Sep 01 00:00:00 EDT 2017},

  month        = {Fri Sep 01 00:00:00 EDT 2017}

}

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