Future Smart Grids Control and Optimization: A Reinforcement Learning Tool for Optimal Operation Planning

Future Smart Grids Control and Optimization: A Reinforcement Learning Tool for Optimal Operation Planning

The smart grids of the future present innovative opportunities for data exchange and real-time operations management. In this context, it is crucial to integrate technological advancements with innovative planning algorithms, particularly those based on artificial intelligence (AI). AI methods offer...

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Bibliographic Details
Main Authors: Federico Rossi, Giancarlo Storti Gajani, Samuele Grillo, Giambattista Gruosso
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
smart grid planning
optimal power flow
reinforcement learning
artificial intelligence
Online Access:https://www.mdpi.com/1996-1073/18/10/2513
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