Physics-informed machine learning for data anomaly detection, classification, localization, and mitigation: A review, challenges, and path forward

MJ Zideh, P Chatterjee, AK Srivastava - IEEE Access, 2023 - ieeexplore.ieee.org
Advancements in digital automation for smart grids have led to the installation of
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …

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

MJ Zideh, P Chatterjee, AK Srivastava - arXiv preprint arXiv:2309.10788, 2023 - arxiv.org
Advancements in digital automation for smart grids have led to the installation of
measurement devices like phasor measurement units (PMUs), micro-PMUs ($\mu $-PMUs) …

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

MJ Zideh, P Chatterjee, AK Srivastava - IEEE Access, 2024 - ui.adsabs.harvard.edu
Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization,
and Mitigation: A Review, Challenges, and Path Forward - NASA/ADS Now on home page ads …

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

MJ ZIDEH, P CHATTERJEE, AK SRIVASTAVA - 2023 - researchgate.net
Advancements in digital automation for smart grids have led to the installation of
measurement devices like phasor measurement units (PMUs), micro-PMUs (µ-PMUs), and …