Day-ahead hourly electricity load modeling by functional regression

Feng, Yonghan; Ryan, Sarah M.

doi:10.1016/j.apenergy.2016.02.118

Title: Day-ahead hourly electricity load modeling by functional regression

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Authors:: Feng, Yonghan; Ryan, Sarah M.

Publication Date:: Sun May 01 00:00:00 EDT 2016

Sponsoring Org.:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

OSTI Identifier:: 1341098

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Applied Energy

Additional Journal Information:: Journal Name: Applied Energy Journal Volume: 170 Journal Issue: C; Journal ID: ISSN 0306-2619

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

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                    Feng, Yonghan, and Ryan, Sarah M. Day-ahead hourly electricity load modeling by functional regression.  United Kingdom: N. p., 2016. 
Web.  doi:10.1016/j.apenergy.2016.02.118.

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                    Feng, Yonghan, & Ryan, Sarah M. Day-ahead hourly electricity load modeling by functional regression.  United Kingdom.  https://doi.org/10.1016/j.apenergy.2016.02.118

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                    Feng, Yonghan, and Ryan, Sarah M. Sun .  
"Day-ahead hourly electricity load modeling by functional regression".  United Kingdom.  https://doi.org/10.1016/j.apenergy.2016.02.118.

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@article{osti_1341098,

  title        = {Day-ahead hourly electricity load modeling by functional regression},

  author       = {Feng, Yonghan and Ryan, Sarah M.},

  abstractNote = {},

  doi          = {10.1016/j.apenergy.2016.02.118},

  journal      = {Applied Energy},

  number       = C,

  volume       = 170,

  place        = {United Kingdom},

  year         = {Sun May 01 00:00:00 EDT 2016},

  month        = {Sun May 01 00:00:00 EDT 2016}

}

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https://doi.org/10.1016/j.apenergy.2016.02.118

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