IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-10-0519-0_7.html
   My bibliography  Save this book chapter

An Artificial Intelligence Strategy for the Prediction of Wind Speed and Direction in Sarawak for Wind Energy Mapping

In: Recent Advances in Mathematical Sciences

Author

Listed:
  • S. M. Lawan

    (Universiti Malaysia Sarawak (UNIMAS), Department of Electrical and Electronic Engineering, Faculty of Engineering
    Kano University of Science and Technology, Department of Electrical Engineering)

  • W. A. W. Z. Abidin

    (Universiti Malaysia Sarawak (UNIMAS), Department of Electrical and Electronic Engineering, Faculty of Engineering)

  • S. Lawan

    (Bayero University Kano (BUK), Faculty of Science, Department of Mathematical Science)

  • A. M. Lawan

    (Bayero University Kano (BUK), Faculty of Science, Department of Mathematical Science)

Abstract

Accurate and reliable wind speed and direction prediction is one of the necessary concepts in implementing a wind energy system. In this paper, meteorological and geographical variables were modeled via artificial neural networks (ANNs), taking terrain elevation and roughness class into account. The feedforward neural network (FFNN) with back propagation trained with Levenberg–Marquardt algorithm was utilized, with wind speed and direction as the target function in each model. The results obtained using the formulated topographical models showed a regression value R in the range of 0.8256–0.9883. The optimum network based on the lower mean square error and fast computation time was 9-152-1. Thus, the developed topographical feedforward neural network (T-FFNN) is efficient to predict the wind speed and direction properly.

Suggested Citation

  • S. M. Lawan & W. A. W. Z. Abidin & S. Lawan & A. M. Lawan, 2016. "An Artificial Intelligence Strategy for the Prediction of Wind Speed and Direction in Sarawak for Wind Energy Mapping," Springer Books, in: Adem Kılıçman & Hari M. Srivastava & M. Mursaleen & Zanariah Abdul Majid (ed.), Recent Advances in Mathematical Sciences, pages 71-82, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-0519-0_7
    DOI: 10.1007/978-981-10-0519-0_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:sprchp:978-981-10-0519-0_7. 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.springer.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.