The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges

The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges

The transformation of energy markets is at a crossroads in the search for how they must evolve to become ecologically friendly systems and meet the growing energy demand. Currently, methodologies based on bibliographic data analysis are supported by information and communication technologies and hav...

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Bibliographic Details
Main Authors: Daniel Icaza Alvarez, Fernando González-Ladrón-de-Guevara, Jorge Rojas Espinoza, David Borge-Diez, Santiago Pulla Galindo, Carlos Flores-Vázquez
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Energies
Subjects:
artificial intelligence (AI)
smart energy systems
energy transition (ET)
energy planning
artificial intelligence and energy transition (AI&ET)
Online Access:https://www.mdpi.com/1996-1073/18/6/1523
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