IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-97940-9_203.html
   My bibliography  Save this book chapter

Big Data Analytics in Smart Energy Systems and Networks: A Review

In: Handbook of Smart Energy Systems

Author

Listed:
  • Morteza Ghasemi

    (University of Tehran)

  • Mohammad Sadra Rajabi

    (University of Tehran)

Abstract

The increase in greenhouse gases (GHGs) in the world becomes more critical over time. One of the most effective dependent parameters of this problem is fossil energy use and the lack of efficient decision-support systems. The Kyoto Protocol and Paris Agreement are two examples of international agreements to limit global warming and counter emissions. Using renewable energy, managing energy consumption, and increasing its productivity are the most crucial solutions to this problem. With the passage of time and the advancement of technology, the volume and quality of historical data collection have expanded and the optimal use of this volume of data plays a key role in accurate and innovative forecasts in the energy industry and smart grids. The purpose of this chapter is to provide a review of the analytical methods of big data for researchers and practitioners while familiarizing themselves with these analyses (Descriptive, Diagnostic, Predictive, Prescriptive) so that they can determine and implement the best analysis according to their data and research objectives.

Suggested Citation

  • Morteza Ghasemi & Mohammad Sadra Rajabi, 2023. "Big Data Analytics in Smart Energy Systems and Networks: A Review," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 3201-3215, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_203
    DOI: 10.1007/978-3-030-97940-9_203
    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 search for a similarly titled item that would be available.

    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:978-3-030-97940-9_203. 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.