IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-981-16-8965-9_1.html
   My bibliography  Save this book chapter

Introduction

In: Big Data in Energy Economics

Author

Listed:
  • Hui Liu

    (Central South University)

  • Nikolaos Nikitas

    (University of Leeds)

  • Yanfei Li

    (Hunan Agricultural University)

  • Rui Yang

    (Central South University)

Abstract

The production and consumption of energy play a vital role in economic development. This chapter introduces the development process of energy economics and the role of big data in it. Then the concept, significance, and key technologies of the energy internet are described. Big data analysis techniques in the field of energy economics such as data pre-processing, time series forecasting, and non-intrusive load identification are presented. Common application scenarios such as crude oil market, coal market, wind power market, photovoltaic market, and electricity market are analyzed. Finally, the scope of the book is summarized. This book combines energy economics and big data modeling analysis in energy conversion and management, and comprehensively introduces the relevant theories, key technologies, and application cases of the smart energy economy.

Suggested Citation

  • Hui Liu & Nikolaos Nikitas & Yanfei Li & Rui Yang, 2022. "Introduction," Management for Professionals, in: Big Data in Energy Economics, chapter 0, pages 1-41, Springer.
    • Handle: RePEc:spr:mgmchp:978-981-16-8965-9_1
    DOI: 10.1007/978-981-16-8965-9_1
    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:mgmchp:978-981-16-8965-9_1. 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.