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Role of artificial intelligence in smart grid - a mini review
M Balamurugan1, Kamala Narayanan2, N Raghu3
1Department of EEE, Dayananda Sagar College of Engineering, Bangalore, India.
Frontiers in Artificial Intelligence
|February 19, 2025
Summary
Artificial intelligence (AI) is revolutionizing smart grids by enhancing efficiency, dependability, and sustainability. AI techniques are crucial for optimizing energy systems from generation to consumption.
Area of Science:
- Electrical Engineering
- Computer Science
- Energy Systems
Background:
- Smart grids integrate advanced communication and computational techniques for energy management.
- Current smart grid operations heavily rely on artificial intelligence (AI) for enhanced performance.
- AI integration is key to achieving dependable, efficient, and sustainable energy systems.
Purpose of the Study:
- To summarize artificial intelligence techniques applied across various smart grid domains.
- To highlight AI's role in improving smart grid functionality and performance.
- To provide an overview of AI's impact on the energy supply chain.
Main Methods:
- Review and summarization of existing AI techniques in smart grid applications.
- Analysis of AI's contribution to load forecasting, power distribution, and issue identification.
- Examination of data requirements, including big data and cloud computing, for AI implementation.
Main Results:
- AI significantly improves load forecasting accuracy and optimizes power distribution.
- AI enables dependable issue identification and enhances overall system efficiency.
- Successful AI application necessitates robust infrastructure for big data processing and collaborative platforms.
Conclusions:
- Artificial intelligence is fundamental to creating intelligent smart grids.
- AI adoption leads to high efficiency, dependability, and affordability in energy supply.
- Further development of infrastructure supporting big data and cloud computing is vital for AI-driven smart grids.
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