EconPapers    
Economics at your fingertips  
 

Artificial intelligence and energy economics

Cosimo Magazzino

Chapter 4 in Elgar Encyclopedia of Energy Economics, 2025, pp 16-23 from Edward Elgar Publishing

Abstract: This entry provides a comprehensive survey on the application of artificial intelligence (AI) methods in energy economics. This literature overview helps to shed light on the potential of AI tools in the energy sector. Therefore, this entry aims to represent a footprint of the state of the art, stimulating the debate on the alternative ways in which AI methods can be used to analyse the energy series, contributing to energy saving, energy efficiency, energy management, systems optimization, and price forecasting.

Keywords: Energy Economics; Big Data; Artificial Intelligence; Machine Learning; Neural Networks (search for similar items in EconPapers)
Date: 2025
ISBN: 9781035310364
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781035310371.00009 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:22238_4

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Jack Sweeney ().

 
Page updated 2026-05-25
Handle: RePEc:elg:eechap:22238_4