M. K. Biswal

Orcid: 0000-0002-0190-7494

According to our database1, M. K. Biswal authored at least 16 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DP-AMI-FL: Secure Framework for Machine Learning-based AMI Applications.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

2022
Analysis of Independent Learning in Network Agents: A Packet Forwarding Use Case.
CoRR, 2022

2021
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI.
CoRR, 2021

Proof of X: Experimental Insights on Blockchain Consensus Algorithms in Energy Markets.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

2020
Black Box Attack on Machine Learning Assisted Wide Area Monitoring and Protection Systems.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2016
Efficient Compression of PMU Data in WAMS.
IEEE Trans. Smart Grid, 2016

iCenS: An information-centric smart grid network architecture.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

Signal features for classification of power system disturbances using PMU data.
Proceedings of the Power Systems Computation Conference, 2016

2014
Automatic Classification of Power Quality Events Using Balanced Neural Tree.
IEEE Trans. Ind. Electron., 2014

Nonstationary signal pattern recognition using fast time-time filtering and decision tree.
J. Intell. Fuzzy Syst., 2014

Nonstationary power signal time series data classification using LVQ classifier.
Appl. Soft Comput., 2014

2013
Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree.
IEEE Trans. Ind. Informatics, 2013

Power quality event characterization using support vector machine and optimization using advanced immune algorithm.
Neurocomputing, 2013

Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier.
Digit. Signal Process., 2013

2012
Time frequency analysis and power signal disturbance classification using support vector machine and differential evolution algorithm.
Int. J. Knowl. Based Intell. Eng. Syst., 2012

2009
TT-ACO based Power Signal Classifier.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009


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