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MINI REVIEW article
Front. Artif. Intell.
Sec. Machine Learning and Artificial Intelligence
Volume 8 - 2025 |
doi: 10.3389/frai.2025.1551661
This article is part of the Research Topic Exploring the Power of AI and ML in Smart Grids: Advancements, Applications, and Challenges View all 4 articles
Role of Artificial intelligence in Smart Grid -A Mini Review
Provisionally accepted- 1 Dayananda Sagar College of Engineering, Bangalore, India
- 2 University of Nevada, Las Vegas, Las Vegas, Nevada, United States
- 3 Jain University, Bengaluru, Karnataka, India
A smart grid is a structure that regulates, operates, and utilizes energy sources that are incorporated into the smart grid using smart communications techniques and computerized techniques. The running and maintenance of Smart Grids now depend on artificial intelligence methods quite extensively. Artificial intelligence is enabling more dependable, efficient, and sustainable energy systems from improving load forecasting accuracy to optimizing power distribution and guaranteeing issue identification. An intelligent smart grid will be created by substituting artificial intelligence for manual tasks and achieving high efficiency, dependability, and affordability across the energy supply chain from production to consumption. Collection of a large diversity of data is vital to make effective decisions. Artificial intelligence application operates by processing abundant data samples, advanced computing, and strong communication collaboration. The development of appropriate infrastructure resources, including big data, cloud computing, and other collaboration platforms, must be enhanced for this type of operation. In this paper, an attempt has been made to summarize the artificial intelligence techniques used in various aspects of smart grid system.
Keywords: Smart Grid, Demand management, machine learning, deep learning, artificial intelligence
Received: 26 Dec 2024; Accepted: 23 Jan 2025.
Copyright: © 2025 M, Narayanan, N, G B and V N. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Arjun Kumar G B, Dayananda Sagar College of Engineering, Bangalore, India
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