Chongqing Kang

Bounding Data-driven Model Errors in Power Grid Analysis.

2019 · arXiv (Cornell University)

Data-driven models analyze power grids under incomplete physical information, and their accuracy has been mostly validated empirically using certain training and testing datasets. This paper explores error bounds for data-driven models under all possible training …