IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-030-97042-0_4.html
   My bibliography  Save this book chapter

Application Possibilities of Artificial Intelligence in a Renewable Energy Platform

In: Smart Services Summit

Author

Listed:
  • Daria Kern

    (Aalen University
    Glasgow Caledonian University)

  • Andreas Ensinger

    (Glasgow Caledonian University
    Ueberlandzentrale Woerth/I.-Altheim Netz AG)

  • Carmen Hammer

    (Aalen University)

  • Christina Neufeld

    (Aalen University)

  • Carsten Lecon

    (Aalen University)

  • Anna Nagl

    (Aalen University)

  • Karlheinz Bozem

    (Bozem Consulting Associates)

  • David K. Harrison

    (Glasgow Caledonian University)

  • Bruce M. Wood

    (Glasgow Caledonian University)

Abstract

Digitization and the trend to work from home are significantly accelerated by the COVID-19 pandemic. The relocation of the workplace to the home office is accompanied by increased electricity consumption in private households. Furthermore, with the threat of climate change, the transition to renewable energies is becoming increasingly important. This includes the need for new and innovative business models in the energy sector. Artificial intelligence is one of the key technologies for innovation. We investigate how and where artificial intelligence can be incorporated into the business model of a German research project. The business model aims to market renewable energy through a platform where private electricity consumers and producers are part of the user base. With the help of AI, future supply and demand can be forecasted more accurately, which is ecologically and economically beneficial. Chatbot assistance and further applications are presented as well. The resulting added value can benefit both the platform operator as well as the platform users.

Suggested Citation

  • Daria Kern & Andreas Ensinger & Carmen Hammer & Christina Neufeld & Carsten Lecon & Anna Nagl & Karlheinz Bozem & David K. Harrison & Bruce M. Wood, 2022. "Application Possibilities of Artificial Intelligence in a Renewable Energy Platform," Progress in IS, in: Shaun West & Jürg Meierhofer & Utpal Mangla (ed.), Smart Services Summit, pages 35-43, Springer.
    • Handle: RePEc:spr:prochp:978-3-030-97042-0_4
    DOI: 10.1007/978-3-030-97042-0_4
    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:prochp:978-3-030-97042-0_4. 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.