Real-time Anomaly Detection and Classification in Streaming PMU Data
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Deepjyoti Deka | Andrey Y. Lokhov | Marc Vuffray | Christopher Hannon | Dong Jin | A. Lokhov | Marc Vuffray | Dong Jin | Deepjyoti Deka | Christopher Hannon
[1] B. Ripley,et al. Recursive Partitioning and Regression Trees , 2015 .
[2] Bernhard Pfaff,et al. VAR, SVAR and SVEC Models: Implementation Within R Package vars , 2008 .
[3] P. Mahalanobis. On the generalized distance in statistics , 1936 .
[4] Emma M. Stewart,et al. Synchrophasor data analytics in distribution grids , 2017, 2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
[5] Scott Backhaus,et al. Detection of Cyber-Physical Faults and Intrusions from Physical Correlations , 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).
[6] Michael Chertkov,et al. Real-Time Faulted Line Localization and PMU Placement in Power Systems Through Convolutional Neural Networks , 2018, IEEE Transactions on Power Systems.
[7] Alireza Shahsavari,et al. Locating the Source of Events in Power Distribution Systems Using Micro-PMU Data , 2018, IEEE Transactions on Power Systems.
[8] Scott A. Wallace,et al. Smart grid line event classification using supervised learning over PMU data streams , 2015, 2015 Sixth International Green and Sustainable Computing Conference (IGSC).
[9] Michael Chertkov,et al. Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[10] Md. Apel Mahmud,et al. Investigation of the Impacts of Large-Scale Wind Power Penetration on the Angle and Voltage Stability of Power Systems , 2012, IEEE Systems Journal.
[11] Surya Santoso,et al. Algorithm for Screening Phasor Measurement Unit Data for Power System Events and Categories and Common Characteristics for Events Seen in Phasor Measurement Unit Relative Phase-Angle Differences and Frequency Signals , 2013 .
[12] Ning Chen,et al. A Novel PMU Fog Based Early Anomaly Detection for an Efficient Wide Area PMU Network , 2018, 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC).
[13] Michael Chertkov,et al. Online Learning of Power Transmission Dynamics , 2017, 2018 Power Systems Computation Conference (PSCC).
[14] Trevor Hastie,et al. Statistical Models in S , 1991 .
[15] Anurag K. Srivastava,et al. Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection , 2019, IEEE Transactions on Smart Grid.
[16] Arun G. Phadke,et al. Synchronized phasor measurements-a historical overview , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.
[17] Michael I. Jordan,et al. Graphical Models, Exponential Families, and Variational Inference , 2008, Found. Trends Mach. Learn..
[18] Mohammad Farajollahi,et al. Unsupervised Learning for Online Abnormality Detection in Smart Meter Data , 2019, 2019 IEEE Power & Energy Society General Meeting (PESGM).
[19] Alexander Lex,et al. UpSetR: an R package for the visualization of intersecting sets and their properties , 2017, bioRxiv.
[20] Anna Scaglione,et al. Anomaly Detection Using Optimally Placed $\mu \text{PMU}$ Sensors in Distribution Grids , 2018, IEEE Transactions on Power Systems.
[21] Yuan Li,et al. An approach to aging assessment of power transformer based on multi-parameters , 2012, 2012 IEEE International Conference on Condition Monitoring and Diagnosis.
[22] Dirk Eddelbuettel,et al. Analysis of Integrated and Cointegrated Time Series with R (2nd Edition) , 2009 .
[23] Taras I. Lakoba,et al. Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems , 2014, IEEE Transactions on Power Systems.