most citedPhysics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward

5 citations · 5 across the 1 of their papers we have counts for

collaborators
Showing eess.SYShow all

1 paper · 1 filter

eess.SY2023★ 5 cited

Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward

Mehdi Jabbari Zideh, Paroma Chatterjee, Anurag K. Srivastava

Advancements in digital automation for smart grids have led to the installation of measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and smart meters…