2026 2nd International Conference on Power Systems, Smart Grid, and Artificial Intelligence


The high integration of renewable energy sources brings challenges such as source-load fluctuations and intermittency, making traditional energy storage operation and control methods inadequate for complex grid scenarios. Leveraging cutting-edge technologies like artificial intelligence and machine learning enables precise forecasting, intelligent dispatching, and optimized management of energy storage systems. This effectively enhances the flexibility, stability, and renewable energy absorption capacity of power systems, supporting the transition to low-carbon energy.
In the context of smart grids, AI-based energy storage technology enables coordinated scheduling, dynamic optimization, and intelligent management of energy storage clusters, deeply engaging in market-oriented scenarios such as demand response and grid auxiliary services. Additionally, AI-powered energy storage status monitoring, intelligent fault diagnosis, and predictive maintenance technologies can effectively mitigate operational risks, ensuring safe, long-term, and stable operation of energy storage systems.
Regarding the above content, the main themes for submissions include: