Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Comment
  • Published:

Renewables: Share data on wind energy

Nature volume 529, pages 19–21 (2016)Cite this article

Subjects

Giving researchers access to information on turbine performance would allow wind farms to be optimized through data mining, says Andrew Kusiak.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

  • Purchase on SpringerLink
  • Instant access to the full article PDF.

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

References

  1. Kusiak, A., Verma, A. & Wei, X. Wind Systems 3, 36–39 (2012).

    Google Scholar 

  2. Kusiak, A., Zhang, Z. & Xu, G. IEEE Trans. Sustain. Energy 4, 756–764 (2013).

    Article  ADS  Google Scholar 

  3. Zhang, Z., Zhou, Q. & Kusiak, A. IEEE Trans. Sustain. Energy 5, 228–236 (2014).

    Article  ADS  Google Scholar 

  4. Kusiak, A., Zhang, Z. & Verma, A. Energy 60, 1–12 (2013).

    Article  Google Scholar 

  5. Kusiak, A. Ind. Eng. 47, 38–42 (2015).

    Google Scholar 

  6. Zhang, Z., Verma, A. & Kusiak, A. IEEE Trans. Energy Convers. 27, 526–535 (2012).

    Article  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Andrew Kusiak is professor of mechanical and industrial engineering, and director of the Intelligent Systems Laboratory, at the University of Iowa, Iowa City, Iowa, USA.,

    Andrew Kusiak

Authors
  1. Andrew Kusiak
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to Andrew Kusiak.

Additional information

Tweet Follow @NatureNews

Related links

Related links

Related links in Nature Research

Materials science: Share corrosion data 2015-Nov-25

Modelling: Build imprecise supercomputers 2015-Sep-29

Energy policy: Push renewables to spur carbon pricing 2015-Sep-02

Economics: Manufacture renewables to build energy security 2014-Sep-10

Renewable energy: Back the renewables boom 2014-Mar-19

Related external links

Wind Energy Development Programmatic EIS

Scientific American: Wind power

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kusiak, A. Renewables: Share data on wind energy. Nature 529, 19–21 (2016). https://doi.org/10.1038/529019a

Download citation

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/529019a

This article is cited by

Search

Advanced search

Quick links

Nature Briefing AI and Robotics

Sign up for the Nature Briefing: AI and Robotics newsletter — what matters in AI and robotics research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: AI and Robotics