In this paper, we presents an enhanced denosing autoencoder (DA) aided bad data filtering scheme to pre-process PMU measurements for Linear State Estimation. The proposed algorithm is lightweight and can be deployed on individual PMU level to achieve maximum parallelism and high efficiency.
Our Paper on Enhanced Autoencoder Aided Bad Data Filtering for Synchrophasor-based State Estimation has been accepted by CSEE Journal of Power and Energy Systems.
