Robust kriged Kalman filtering (original) (raw)

Adaptive Robust Cubature Kalman Filter for Power System Dynamic State Estimation Against Outliers

Shiqi Cao

IEEE Access, 2019

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An outlier-robust Kalman filter

Juan Nieto

2011 IEEE International Conference on Robotics and Automation, 2011

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Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part I--Theory

Lamine Mili

2017

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Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics

Lamine Mili

IEEE Transactions on Smart Grid, 2017

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Outlier-Tolerant Kalman Filter of State Vectors in Linear Stochastic System

Huajiang Ouyang

Food Chemistry, 2011

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Robust state estimation in power systems using pre-filtering measurement data

Heydar Shandiz

Journal of AI and Data Mining, 2017

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A Modified Kalman Filter for Non-gaussian Measurement Noise

Muhammad Mirza

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Outlier Detection in Smart Grid Communication

Nelson Mutua

ArXiv, 2021

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Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part II-Implementation and Results

Lamine Mili

2017

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Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter

Paul Fearnhead

IEEE Transactions on Signal Processing, 2021

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Robust Data-Driven State Estimation for Smart Grid

Marija Ilic

IEEE Transactions on Smart Grid, 2017

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A robust extended Kalman filter for power system dynamic state estimation using PMU measurements

Lamine Mili

2016

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Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods

Sajjad Asefi

Sustainable Energy, Grids and Networks

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False Data Detection in a Clustered Smart Grid Using Unscented Kalman Filter

muhammad rashed

IEEE Access

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Early Anomaly Detection for Power Systems Based on Kullback-Leibler Divergence Using Factor Model Analysis

Ghadir Radman

American Journal of Electrical Power and Energy Systems, 2021

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Robust Kalman Filter Based on a Generalized Maximum-Likelihood-Type Estimator

Lamine Mili

IEEE Transactions on Signal Processing, 2000

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Online Conditional Anomaly Detection in Multivariate Data for Transformer Monitoring

Graham Moss

IEEE Transactions on Power Delivery, 2010

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Robust Kalman filter and smoother for errors-in-variables state space models with observation outliers based on the minimum-covariance determinant estimator

Jaafar AlMutawa

Asian Journal of Control, 2011

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Outlier Detection Based on Nelder-Mead Simplex Robust Kalman Filtering for Trustworthy Bridge Structural Health Monitoring

Xiaolin Meng

Remote Sensing

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Outlier Robust System Identification: A Bayesian Kernel-Based Approach

Gianluigi Pillonetto

Proceedings of the 19th IFAC World Congress, 2014

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Outlier Identification in Spatio-Temporal Processes

Shrijita Bhattacharya

2018

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Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on

Jaafar AlMutawa

2015

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Robust State Estimation of Electric Power Systems

Lamine Mili

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Distinguishing features from outliers in automatic Kriging-based filtering of MBES data: a comparative study

C. Briese, Roderik Lindenbergh

Geostatistics for Environmental Applications, 2005

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Power System Dynamic State Estimation Using Extended and Unscented Kalman Filters

Mukesh Gautam

ArXiv, 2020

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Anomaly Inference Based on Heterogeneous Data Sources in an Electrical Distribution System

Yachen Tang

2018

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Anomaly Detection in Smart Metering Infrastructure with the Use of Time Series Analysis

Piotr Kiedrowski

Journal of Sensors

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Combining filtering and statistical methods for anomaly detection

Kavé Salamatian

Proceedings of the 5th ACM …, 2005

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Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning

Sajjad Asefi

2022

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Data-Driven Anomaly Detection in Modern Power Systems

Mucun Sun

Security of Cyber-Physical Systems, 2020

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State Estimation within IED Based Smart Grid Using Kalman Estimates

muhammad rashed

Electronics, 2021

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A Distribution System State Estimator Based on an Extended Kalman Filter Enhanced with a Prior Evaluation of Power Injections at Unmonitored Buses

David Macii

Energies, 2020

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Online outlier detection in sensor data using non-parametric models

Vana Kalogeraki

… on Very large data …, 2006

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A Robust Kalman Framework with Resampling and Optimal Smoothing

Thomas Kautz

Sensors, 2015

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Using Sub-optimal Kalman Filtering for Anomaly Detection in Networks

Joseph Ndong

Proceeding of the Electrical Engineering Computer Science and Informatics

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