Distribution system state estimation with Transformer-Bi-LSTM-based imputation model for missing measurements

This publication has 49 references indexed in Scilit:

• MissForest—non-parametric missing value imputation for mixed-type data
  Bioinformatics, 2011
• Ensemble learning for wind profile prediction with missing values
  Neural Computing and Applications, 2011
• Improvement on state estimation for discrete-time LTI systems with measurement loss
  Measurement, 2010
• A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method
  Neural Networks, 2010
• Estimating causal effects from epidemiological data
  Journal of Epidemiology and Community Health, 2006
• A branch-estimation-based state estimation method for radial distribution systems
  IEEE Transactions on Power Delivery, 2002
• A highly efficient algorithm in treating current measurements for the branch-current-based distribution state estimation
  IEEE Transactions on Power Delivery, 2001
• A branch-current-based state estimation method for distribution systems
  IEEE Transactions on Power Systems, 1995
• State estimation for real-time monitoring of distribution systems
  IEEE Transactions on Power Systems, 1994
• Power system state estimation: a survey
  International Journal of Electrical Power & Energy Systems, 1990