IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v529y2016i7584d10.1038_529019a.html
   My bibliography  Save this article

Renewables: Share data on wind energy

Author

Listed:
  • Andrew Kusiak

    (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.)

Abstract

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

Suggested Citation

  • Andrew Kusiak, 2016. "Renewables: Share data on wind energy," Nature, Nature, vol. 529(7584), pages 19-21, January.
    • Handle: RePEc:nat:nature:v:529:y:2016:i:7584:d:10.1038_529019a
    DOI: 10.1038/529019a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/529019a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/529019a?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lorin Jenkel & Stefan Jonas & Angela Meyer, 2023. "Privacy-Preserving Fleet-Wide Learning of Wind Turbine Conditions with Federated Learning," Energies, MDPI, vol. 16(17), pages 1-29, September.
    2. Kevin Leahy & Colm Gallagher & Peter O’Donovan & Dominic T. J. O’Sullivan, 2019. "Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses," Energies, MDPI, vol. 12(2), pages 1-22, January.
    3. Gonzalo Gil & Aitor Arnaiz & Mariví Higuero & Francisco Javier Diez & Eduardo Jacob, 2022. "Context-Aware Policy Analysis for Distributed Usage Control," Energies, MDPI, vol. 15(19), pages 1-25, September.
    4. Chatterjee, Joyjit & Dethlefs, Nina, 2021. "Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    5. Mohammad AlMuhaini & Abass Yahaya & Ahmed AlAhmed, 2023. "Distributed Generation and Load Modeling in Microgrids," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    6. Liang, Guoyuan & Su, Yahao & Wu, Xinyu & Ma, Jiajun & Long, Huan & Song, Zhe, 2023. "Abnormal data cleaning for wind turbines by image segmentation based on active shape model and class uncertainty," Renewable Energy, Elsevier, vol. 216(C).
    7. Jaume Manero & Javier Béjar & Ulises Cortés, 2019. "“Dust in the Wind...”, Deep Learning Application to Wind Energy Time Series Forecasting," Energies, MDPI, vol. 12(12), pages 1-20, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:529:y:2016:i:7584:d:10.1038_529019a. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.