IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-97940-9_135.html
   My bibliography  Save this book chapter

AI for Electricity Market Design

In: Handbook of Smart Energy Systems

Author

Listed:
  • Krishna Sathvik Mantripragada

    (University of North Texas, Information Technology and Computer Science)

  • Michel Fathi

    (Information Technology and Decision Sciences, University of North Texas)

Abstract

Artificial intelligence (AI) has begun to reveal itself at an unprecedented rate in recent years. AI can drastically alter our cities and society due to its advanced capabilities. Despite its expanding importance, AI’s urban and societal ramifications have received little attention. This chapter introduces the concept of an artificially intelligent city as a potential successor to the popular smart city brand – where a city’s smartness has become strongly associated with the use of viable technological solutions, including AI, to contribute to ongoing efforts to address this research gap. The research investigates whether creating artificially intelligent cities can protect humanity from natural disasters, pandemics, and other tragedies. This opinion is based on a detailed examination of the present state of AI literature, research, advances, trends, and applications.

Suggested Citation

  • Krishna Sathvik Mantripragada & Michel Fathi, 2023. "AI for Electricity Market Design," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 2059-2074, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-97940-9_135
    DOI: 10.1007/978-3-030-97940-9_135
    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_135. 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.