A regime-dependent artificial neural network technique for short-range solar irradiance forecasting

McCandless, T. C.; Haupt, S. E.; Young, G. S.

doi:10.1016/j.renene.2015.12.030

Title: A regime-dependent artificial neural network technique for short-range solar irradiance forecasting

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Authors:

; Haupt, S. E.; Young, G. S.

Publication Date:: 2016-04-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1359816

Grant/Contract Number:: [DE-EE0006016]

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Renewable Energy

Additional Journal Information:: Journal Name: Renewable Energy Journal Volume: 89 Journal Issue: C; Journal ID: ISSN 0960-1481

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    McCandless, T. C., Haupt, S. E., and Young, G. S.. A regime-dependent artificial neural network technique for short-range solar irradiance forecasting.  United Kingdom: N. p., 2016. 
Web.  doi:10.1016/j.renene.2015.12.030.

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                    McCandless, T. C., Haupt, S. E., & Young, G. S.. A regime-dependent artificial neural network technique for short-range solar irradiance forecasting.  United Kingdom.  https://doi.org/10.1016/j.renene.2015.12.030

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                    McCandless, T. C., Haupt, S. E., and Young, G. S.. Fri .  
"A regime-dependent artificial neural network technique for short-range solar irradiance forecasting".  United Kingdom.  https://doi.org/10.1016/j.renene.2015.12.030.

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@article{osti_1359816,

  title        = {A regime-dependent artificial neural network technique for short-range solar irradiance forecasting},

  author       = {McCandless, T. C. and Haupt, S. E. and Young, G. S.},

  abstractNote = {},

  doi          = {10.1016/j.renene.2015.12.030},

  journal      = {Renewable Energy},

  number       = C,

  volume       = 89,

  place        = {United Kingdom},

  year         = {2016},

  month        = {4}

}

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https://doi.org/10.1016/j.renene.2015.12.030

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