Yue Xiang and colleagues propose an adaptive hierarchical learning framework to address implicit uncertainties in distributed energy resource planning when third-party operators lack full grid visibility. Their method co-optimizes investment and operational decisions data-drivenly, reducing costs while maintaining voltage stability without relying on predefined scenarios or model simplifications.
- Yue Xiang
- Lingtao Li
- Junyong Liu
