Artificial intelligence integrated grid systems: Technologies, potential frameworks, challenges, and research directions
University of Technology Sydney · Sunway University
Abstract
Real-time monitoring and control are crucial for ensuring the resilient, coordinated, and optimal operation of next-generation power systems, such as virtual power plants and microgrids. Artificial intelligence (AI) technologies have great potential for improving the effectiveness of monitoring, controlling, optimizing, and managing energy systems. As such, integrating AI into energy systems is seen as a promising path for developing intelligent grids, especially given the rise of distributed and renewable energy sources and the shift toward net-zero systems. This research explores the latest advancements across various areas of energy systems, revealing the current capabilities of intelligent monitoring and…
Citation impact
- FWCI
- 106.87
- Percentile
- 100%
- References
- 277
Authors
5Topics & keywords
- Computer science
- Grid
- Systems engineering
- Data science
- Engineering
- Geography