A data-driven method to characterize turbulence-caused uncertainty in wind power generation

Zhang, Jie; Jain, Rishabh; Hodge, Bri-Mathias

doi:10.1016/j.energy.2016.06.144

Title: A data-driven method to characterize turbulence-caused uncertainty in wind power generation

Authors:: Zhang, Jie; Jain, Rishabh; Hodge, Bri-Mathias

Publication Date:: Sat Oct 01 00:00:00 EDT 2016

Sponsoring Org.:: USDOE

OSTI Identifier:: 1359062

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Energy

Additional Journal Information:: Journal Name: Energy Journal Volume: 112 Journal Issue: C; Journal ID: ISSN 0360-5442

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Zhang, Jie, Jain, Rishabh, and Hodge, Bri-Mathias. A data-driven method to characterize turbulence-caused uncertainty in wind power generation.  United Kingdom: N. p., 2016. 
Web.  doi:10.1016/j.energy.2016.06.144.

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                    Zhang, Jie, Jain, Rishabh, & Hodge, Bri-Mathias. A data-driven method to characterize turbulence-caused uncertainty in wind power generation.  United Kingdom.  https://doi.org/10.1016/j.energy.2016.06.144

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                    Zhang, Jie, Jain, Rishabh, and Hodge, Bri-Mathias. Sat .  
"A data-driven method to characterize turbulence-caused uncertainty in wind power generation".  United Kingdom.  https://doi.org/10.1016/j.energy.2016.06.144.

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@article{osti_1359062,

  title        = {A data-driven method to characterize turbulence-caused uncertainty in wind power generation},

  author       = {Zhang, Jie and Jain, Rishabh and Hodge, Bri-Mathias},

  abstractNote = {},

  doi          = {10.1016/j.energy.2016.06.144},

  journal      = {Energy},

  number       = C,

  volume       = 112,

  place        = {United Kingdom},

  year         = {Sat Oct 01 00:00:00 EDT 2016},

  month        = {Sat Oct 01 00:00:00 EDT 2016}

}

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https://doi.org/10.1016/j.energy.2016.06.144

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Title: A data-driven method to characterize turbulence-caused uncertainty in wind power generation

Citation Formats

Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties journal, May 2015

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An overview of data for wake model evaluation in the Virtual Wakes Laboratory journal, April 2013

Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation journal, January 2016

A suite of metrics for assessing the performance of solar power forecasting journal, January 2015

Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions journal, April 2013

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A mechanistic semi-empirical wake interaction model for wind farm layout optimization journal, December 2015

Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation journal, February 2012

Assessing the effect of wind power uncertainty on profitability journal, August 2011

Comparison of Wake Model Simulations with Offshore Wind Turbine Wake Profiles Measured by Sodar journal, July 2006

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Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method journal, May 2015

Comparative study of clustering methods for wake effect analysis in wind farm journal, January 2016

Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology journal, February 2015

A Multivariate and Multimodal Wind Distribution model journal, March 2013

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journal, May 2015

Evaluation of the wind direction uncertainty and its impact on wake modeling at the Horns Rev offshore wind farm: Wind direction uncertainty and its impact on wake modeling
journal, May 2013

Validation of a CFD model of wind turbine wakes with terrain effects
journal, December 2013

An overview of data for wake model evaluation in the Virtual Wakes Laboratory
journal, April 2013

Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation
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journal, January 2015

Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions
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