Digital twin-driven deep reinforcement learning for coordinated scheduling and state prediction of distributed energy storage clusters
Fields of Study & Subjects
Advanced Battery Technologies Research
Microgrid Control and Optimization
Smart Grid Energy Management
Publication details
- Journal / source
- Applied Energy
- Publisher
- Elsevier BV
- Volume
- 421
- Pages
- 128250–128250
- Publication date
- 18 June 2026
- Language
- EN