A data-driven multi-model methodology with deep feature selection for short-term wind forecasting

Feng, Cong; Cui, Mingjian; Hodge, Bri-Mathias; Zhang, Jie

doi:10.1016/j.apenergy.2017.01.043

Title: A data-driven multi-model methodology with deep feature selection for short-term wind forecasting

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Authors:: Feng, Cong; Cui, Mingjian; Hodge, Bri-Mathias; Zhang, Jie

Publication Date:: Wed Mar 01 00:00:00 EST 2017

Sponsoring Org.:: USDOE

OSTI Identifier:: 1397067

Grant/Contract Number:: XGJ-6-62183-01; AC36-08GO28308

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Applied Energy

Additional Journal Information:: Journal Name: Applied Energy Journal Volume: 190 Journal Issue: C; Journal ID: ISSN 0306-2619

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Feng, Cong, Cui, Mingjian, Hodge, Bri-Mathias, and Zhang, Jie. A data-driven multi-model methodology with deep feature selection for short-term wind forecasting.  United Kingdom: N. p., 2017. 
Web.  doi:10.1016/j.apenergy.2017.01.043.

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                    Feng, Cong, Cui, Mingjian, Hodge, Bri-Mathias, & Zhang, Jie. A data-driven multi-model methodology with deep feature selection for short-term wind forecasting.  United Kingdom.  https://doi.org/10.1016/j.apenergy.2017.01.043

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                    Feng, Cong, Cui, Mingjian, Hodge, Bri-Mathias, and Zhang, Jie. Wed .  
"A data-driven multi-model methodology with deep feature selection for short-term wind forecasting".  United Kingdom.  https://doi.org/10.1016/j.apenergy.2017.01.043.

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@article{osti_1397067,

  title        = {A data-driven multi-model methodology with deep feature selection for short-term wind forecasting},

  author       = {Feng, Cong and Cui, Mingjian and Hodge, Bri-Mathias and Zhang, Jie},

  abstractNote = {},

  doi          = {10.1016/j.apenergy.2017.01.043},

  journal      = {Applied Energy},

  number       = C,

  volume       = 190,

  place        = {United Kingdom},

  year         = {Wed Mar 01 00:00:00 EST 2017},

  month        = {Wed Mar 01 00:00:00 EST 2017}

}

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