Power System Control & Protection Lab

Big Data Analytics

Books

  1. M. Kezunovic, Z. Obradovic, T. Dokic, B. Zhang, J. Stojanovic, P. Dehghanian, and P. -C. Chen, “Predicating Spatiotemporal Impacts of Weather on Power Systems using Big Data Science,” Springer Verlag, Data Science and Big Data: An Environment of Computational Intelligence, Pedrycz, Witold, Chen, Shyi-Ming (Eds.), ISBN 978-3-319-53474-9, 2017.

Papers In Journals

  1. M. Khoshjahan, R. Baembitov and M. Kezunovic, “Informed Prosumer Aggregator Bidding Strategy via Incorporating Distribution Grid Outage Risk Predictions,” in IEEE Access, vol. 11, pp. 28585-28595, March 2023, doi: 10.1109/ACCESS.2023.3259225
  2. R. Baembitov, M. Kezunovic, K. A. Brewster and Z. Obradovic, “Incorporating Wind Modeling into Electric Grid Outage Risk Prediction and Mitigation Solution,” in IEEE Access, doi: 10.1109/ACCESS.2023.3234984.
  3. M. Alqudah, M. Kezunovic, Z. Obradovic, “Automated Power System Fault Prediction and Precursor Discovery Using Multi-modal Data” in IEEE Access, vol. 11, pp. 7283-7296, December 2022, doi: 10.1109/ACCESS.2022.3233219
  4. M. Soleimani, M. Kezunovic, S. Butenko “Linear Arrhenius-Weibull Model for Power Transformer Thermal Stress Assessment” in IEEE Access, Vol 10, pp. 19013-19021, February 2022, DOI: 10.1109/access.2022.3150039
  5. M. Alqudah, M. Pavlovski, T. Dokic, M. Kezunovic, Y. Hu, Z. Obradovic, “Convolution-based Fault Detection Utilizing Timeseries Synchrophasor Data from Phasor Measurement Units,” IEEE Transactions on Power Systems, 2022, DOI:  10.1109/TPWRS.2021.3135336.
  6. M. Khoshjahan and M. Kezunovic, “Robust bidding strategy for aggregation of distributed prosumers in flexiramp market,” Electric Power Systems Research, Vol. 209, 107994, ISSN 0378-7796, August 2022, DOI: 10.1016/j.epsr.2022.107994
  7. M. Pavlovski, M. Alqudah, T. Dokic, A. Abdel Hai, M. Kezunovic, Z. Obradovic, “ Hierarchical Convolutional Neural Networks for Event Classification on PMU Data,” IEEE Trans. on Instrumentation and Measurement, Vol. 70, 2021, DOI: 10.1109/TIM.2021.3115583
  8. A. Abdel Hai, T. Dokic, M. Pavlovski, T. Mohamed, D. Saranovic, M. Alqudah, M. Kezunovic, Z. Obradovic, “Transfer Learning for Event Detection from PMU Measurements with Scarce Labels” IEEE Access, Vol. 9, 127420 – 127432, 10 September 2021, DOI: 10.1109/ACCESS.2021.3111727.
  9. M. Pavlovski, M. Alqudah, T. Dokic, A. Abdel Hai, M. Kezunovic, Z. Obradovic, “Hierarchical Convolutional Neural Networks for Event Classification on PMU Data,” IEEE Trans. on Instrumentation and Measurement, Vol. 70, 2021, DOI: 10.1109/TIM.2021.3115583
  10. A. Abdel Hai, T. Dokic, M. Pavlovski, T. Mohamed, D. Saranovic, M. Alqudah, M. Kezunovic, Z. Obradovic, “Transfer Learning for Event Detection from PMU Measurements with Scarce Labels” IEEE Access, Vol. 9, 127420 – 127432, 10 September 2021, DOI: 10.1109/ACCESS.2021.3111727.
  11. M. Kezunovic, P. Pinson, Z. Obradovic, S. Grijalva, T. Hong, and R. Bessa, “Big Data Analytics for Future Electricity Grids,” Electric Power Systems Research, Vol. 189, No., pp. 106788, 2020, DOI: 10.1016/j.epsr.2020.106788.
  12. J. Leite, J. R. S. Mantovani, T. Dokic, Q. Yan , P.-C. Chen, and M. Kezunovic, “Resiliency Assessment in Distribution Networks Using GIS Based Predictive Risk Analytics,”IEEE Transactions on Power Systems, Vol., No., pp., April 24, 2019, DOI: 10.1109/TPWRS.2019.2913090.
  13. P. Dehghanian, Y. Guan, and M. Kezunovic, “Real-Time Life-Cycle Assessment of High Voltage Circuit Breakers for Maintenance using Online Condition Monitoring Data,” IEEE Transactions on Industry Applications, Vol. 55, No. 2, pp. 1135-1146, March/April 2019.
  14. C. M. Affonso and M. Kezunovic, “Technical and Economic Impact of PV-BESS Charging Station on Transformer Life: A Case Study,” in IEEE Transactions on Smart Grid, Vol., No., pp. 1-1, August 2018.
  15. P. Dehghanian, B. Zhang, T. Dokic, M. Kezunovic, “Predictive Risk Analytics for Weather-Resilient Operation of Electric Power Systems,”  IEEE Transactions on Sustainable Energy, 2018.
  16. T. Dokic, M. Kezunovic, “Predictive Risk Management for Dynamic Tree Trimming Scheduling for Distribution Networks,” IEEE Transactions on Smart Grid, Accepted for Publication, in Press, 2018.
  17. V. Malbasa, C. Zheng, P.-C. Chen, T. Popovic, and M. Kezunovic, “Voltage Stability Prediction Using Active Machine Learning,” IEEE Transactions on Smart Grid, Vol. PP, no. 99, pp. 1-1, April 2017.
  18. P. C. Chen and M. Kezunovic, “Fuzzy Logic Approach to Predictive Risk Analysis in Distribution Outage Management”, IEEE Transactions on Smart Grid, Vol. 7, no. 6, pp. 2827-2836, November 2016.

Papers In Proceeding of Refereed Conferences

  1. H. Otudi, T. Mohamed, M. Kezunovic, Y. Hu, Z. Obradovic, “Training Machine Learning Models with Simulated Data for Improved Line Fault Events Classification From 3-Phase PMU Field Recordings,” The Hawaii International Conference on System Sciences (HICSS-56), Hawaii, USA, January 2023.
  2. M. Kezunovic, R. Baembitov, and M. Khoshjahan, “Data-driven State of Risk Prediction and Mitigation in Support of the Net-zero Carbon Electric Grid,” in 11th Bulk Power Systems Dynamics and Control Symposium – IREP’2022, Banff, Canada, 2022, doi:10.48550/arXiv.2207.03472.
  3. A. Abdel Hai, T. Mohamed, M. Pavlovski, M. Kezunovic, Z. Obradovic, “Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System”, in 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Bahamas, December 2022.
  4. T. Mohamed, M. Kezunovic, Z. Obradovic, Y. Hu and Z. Cheng, “Application of Machine Learning to Oscillation Detection using PMU Data based on Prony Analysis,” 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Novi Sad, Serbia, 2022, pp. 1-5, doi: 10.1109/ISGT-Europe54678.2022.9960589.
  5. M. Kezunovic, Z. Obradovic, Y. HU, “Use of Machine Learning on PMU Data for Transmission System Fault Analysis,” CIGRE General Session, Paper # 191, Paris, France, August 2022.
  6. M. Kezunovic, Z. Obradovic, Y. Hu, “Automated System-wide Event Detection and Classification Using Machine Learning on Synchrophasor Data,” CIGRE General Session, Paper # 224, Paris, France, August 2022.
  7. T. Mohamed, M. Kezunovic, J. Lusher, J. C. Liu and J. Ren, “The use of digital twin for timing intrusion detection in synchrophasor systems,” 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 01-05, doi: 10.1109/PESGM48719.2022.9916964.
  8. T. Dokic, R. Baembitov, A. A. Hai, Z. Cheng, Y. Hu, M. Kezunovic and Z. Obradovic., “Machine Learning Using a Simple Feature for Detecting Multiple Types of Events from PMU Data,” in 2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 24-26 May 2022 2022, pp. 1-6, doi: 10.1109/SGSMA51733.2022.9806000.
  9. M. Kezunovic, M. Khoshjahan and M. Soleimani, “The Future Role of Active Distribution Load in Enhancing Reliability, Resilience and Security of the Electricity Grids,” 2022 CIGRE Symposium, Kyoto, Japan, April 2022.
  10. H. Otudi, T. Dokic, T. Mohamed, M. Kezunovic, Y. Hu, Z. Obradovic, “Line Faults Classification Using Machine Learning on Three Phase Voltages Extracted from Large Dataset of PMU Measurements,” HICSS-55 Conference, Hawaii, USA, January 2022, DOI: 10.24251/HICSS.2022.425.
  11. R. Baembitov, M. Kezunovic, Z. Obradovic, “Graph Embeddings for Outage Prediction,” The 53rd NAPS, College Station, USA, Nov, 2021, DOI: 10.1109/NAPS52732.2021.9654696.
  12. M. Khoshjahan, R. Baembitov and M. Kezunovic, “Impacts of Weather-Related Outages on DER Participation in the Wholesale Market Energy and Ancillary Services” 2021 CIGRE Grid of the Future Symposium, Providence, Rhode Island, USA, October 2021.
  13. M. Kezunovic, M. Khoshjahan and M. Soleimani, “Harvesting the Nano-Grid Flexibility” 2021 CIGRE Grid of the Future Symposium, Providence, Rhode Island, USA, October 2021.
  14. M. Soleimani, M. Khoshjahan, M. Kezunovic, “Risk-Based Residential Demand Side Response,” CIRED 2021 Conference, Geneva, Switzerland, September 2021, DOI: 10.1049/icp.2021.1892.
  15. H. Santos, C. M. Affonso, M. Kezunovic, “Volt-Var Support in Distribution Systems by controlling Electric Vehicles Charging,” 2021 IEEE PowerTech Conference, Madrid, Spain, June 2021.
  16. R. Baembitov, T. Dokic, M. Kezunovic and Z. Obradovic,  “Fast Extraction and Characterization of Fundamental Frequency Events from a Large PMU Dataset Using Big Data Analytics,” HICSS-54 Conference, Hawaii, USA, January 2021, DOI: 10.24251/HICSS.2021.389.
  17. . Leite, M. Kezunovic, “Risk Mitigation Approaches for Improved Resilience in Distribution Networks,” IEEE PES T&D Conference and Exposition, Latin America, September 2020, DOI: 10.1109/TDLA47668.2020.9326210.
  18. M. Khoshjahan, M. Soleimani and M. Kezunovic, “Flexibility Provision by Distributed Prosumers in Wholesale Electricity Market,” The IET CIRED Workshop, Berlin, Germany, September 2020.
  19. M. Kezunovic, T. Dokic, Z. Obradovic, M. Pavlovski, R. Said “Big Data Analytics for Predictive Lightning Outage Management Using Spatially Aware Logistic Regression Model”, CIGRE General Session, Aug. 2020, Paris, France. (online)
  20. M. Kezunovic, P. Pinson, Z. Obradovic,  S. Grijalva, T. Hong, R. Bessa, “Big Data Analytics for Future Electricity Grids”, Power Systems Computation Conference, Porto, Portugal, July, 2020 (online), DOI: 10.1016/j.epsr.2020.106788.
  21. M. Alqudah, T. Dokic, M. Kezunovic, Z. Obradovic, “Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast,” Proceedings of the 53rd Hawaii International Conference on System Sciences – HICSS 2020, Grand Wailea, Maui, Jan. 2020.
  22. M. Kezunovic, M. Soleimani, H. Abu-Rub, S. Bayhan, M. Trabelsi, “Hardware in the Loop Simulation of a Nano-Grid Transactive Energy Exchange“, 2nd International Conference on Smart Grid and Renewable Energy (SGRE) 2019 , Doha, Qatar, November, 2019, DOI: 10.1109/SGRE46976.2019.9020686.
  23. E. Hui Ko, T. Dokic, M. Kezunovic, “Prediction Model for the Distribution Transformer Failure using Correlation of Weather Data,” CIGRE 5th International Colloquium Transformer Research and Asset Management, Opatija, Croatia, October 2019.
  24. E. Hui Ko, T. Dokic, M. Kezunovic, “Prediction Model for the Distribution Transformer Failure using Correlation of Weather Data,” CIGRE 5th International Colloquium Transformer Research and Asset Management, Opatija, Croatia, October 2019.
  25. M. Kezunovic and T. Dokic,”Big Data Framework for Predictive Risk Assessment of Weather Impacts on Electric Power Systems,” Grid of the Future, CIGRE US National Committee, Atlanta, November, 2019.
  26. C. Seidl, and M. Kezunovic, “Tools for End-to-end Analysis, Calibration and Troubleshooting of Synchrophasor Systems,” ISGT Europe 2019, Bucharest, Romania, September 2019.
  27. M. Soleimani and M. Kezunovic, “Economic Evaluation of Transformer Loss of Life Mitigation by Energy Storage and PV Generation,” 14th International Conference on Deregulated Electricity Market Issues in South-Eastern Europe-DEMSEE 2019, Greece, September, 2019.
  28. C. M. Affonso, and M. Kezunovic, “Probabilisitic Sizing of PV Generation on Commercial Parking Lot with PEVs to Avoid Transformer Aging,” PowerTech 2019, Milan, Italy, Jun. 2019.
  29. T. Dokic, M. Kezunovic, “Optimized Asset Management in Distribution Systems Based on Predictive Risk Analysis,” Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion – MEDPOWER, Dubrovnik, Croatia, November 2018.
  30. J. B. Leite , J. R. S. Mantovani, and M. Kezunovic, “Distribution System Self-Healing Implementation using Decentralized IED-based Multi-Agent System,” IEEE PES Transmission & Distribution Conference and Exhibition – Latin America (T&D-LA), September 2018.
  31. M. Kezunovic, T. Dokic, R. Said, “Optimal Placement of Line Surge Arresters Based on Predictive Risk Framework Using Spatiotemporally Correlated Big Data,” CIGRE General Session, Paris, France, Aug. 2018.
  32. C. M. Affonso, Q. Yan, M. Kezunovic, “Risk Assessment of Transformer Loss-of-Life due to PEV Charging in a Parking Garage with PV Generation”, at IEEE PES General Meeting, Portland, Aug. 4-10, 2018.
  33. M. Kezunovic, Z. Obradovic, T. Dokic, S. Roychoudhury, “Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications,” The Hawaii International Conference on System Sciences – HICSS, Waikoloa Village, Hawaii, January 2018.
  34. J. Leite, J. Mantovani, T. Dokic, Q. Yan, P.-C. Chen, M. Kezunovic, “Failure Probability Metric by Machine Learning for Online Risk Assessment in Distribution Networks,” IEEE/PES Innovative Smart Grid Technologies Latin America (ISGT-LA), Quito, Ecuador, September 20-22, 2017.
  35. P.-C. Chen and M. Kezunovic, “Load Consumption Prediction Utilizing Historical Weather Data and Climate Change Projections,” International Conference on Intelligent Systems Applications to Power (ISAP), San Antonio, Texas, USA, September 17-21, 2017.
  36. M. Kezunovic, T. Dokic, “Predictive Asset Management Under Weather Impacts Using Big Data, Spatiotemporal Data Analytics and Risk Based Decision-Making,” 10th Bulk Power Systems Dynamics and Control Symposium – IREP’2017, Espinho, Portugal, August 2017.
  37. P.-C. Chen and, M. Kezunovic, “Weather Variation and Climate Change Impacts on Power System,” to be presented in  Proceeding IEEE PES General Meeting, Chicago, IL, USA, July 16-20, 2017.
  38. M. Kezunovic, T. Dokic, and P.-C. Chen, “Big Data Uses for Risk Assessment in Predictive Outage and Asset Management,” CIGRE Dublin Symposium, Dublin, Ireland, May 29-June 2, 2017.
  39. T. Dokic, P.-C. Chen, M. Kezunovic, “Risk Analysis for Assessment of Vegetation Impact on Outages in Electric Power Systems“, CIGRE US National Committe 2016 Grid of the Future Symposium, Philadelphia, PA, October-November 2016.
  40. Q. Yan, T. Dokic, M. Kezunovic, “Predicting Impact of Weather Caused Blackouts on Electricity Customers Based on Risk Assessment,” IEEE Power and Energy Society General Meeting, Boston, MA, July 2016.
  41. B. Zhang, P. Dehghanian, M. Kezunovic, “Spatial-Temporal Solar Power Forecast through Use of Gaussian Conditional Random Fields,” IEEE Power and Energy Society General Meeting, Boston, MA, July 2016.
  42. Q. Yan, T. Dokic, M. Kezunovic, “GIS-Based Risk Assessment for Electric Power Consumers under Severe Weather Conditions,” 18th Mediterranean Electrotechnical Conference – MELECON 2016, Limassol, Cyprus, April 2016.
  43. T. Dokic, P. Dehghanian, P.-C. Chen, M. Kezunovic, Z. Medina-Cetina, J. Stojanovic, Z. Obradovic “Risk Assessment of a Transmission Line Insulation Breakdown due to Lightning and Severe Weather,” HICCS – Hawaii International Conference on System Science, Kauai, Hawaii, January 2016.
  44. P.-C. Chen, T. Dokic, N. Stokes, D. W. Goldberg, M. Kezunovic, “Predicting Weather-Associated Impacts in Outage Management Utilizing the GIS Framework,” IEEE/PES Innovative Smart Grid Technologies Latin America (ISGT-LA), Montevideo, Uruguay, October 2015.
  45. B. Zhang, P. Dehghanian, M. Kezunovic, “Simulation of Weather Impacts on the Wholesale Electricity Market”, DEMSEE, Budapest, Hungary, September, 2015.
  46. M. Kezunovic, T. Dokic, P.-C. Chen, V. Malbasa, “Improved Transmission Line Fault Location Using Automated Correlation of Big Data from Lightning Strikes and Fault-induced Traveling Waves,”HICCS – Hawaii International Conference on System Science, Kauai, Hawaii, January 2015.
  47. P.-C. Chen, T. Dokic, M. Kezunovic, “The Use of Big Data for Outage Management in Distribution Systems,” International Conference on Electricity Distribution (CIRED) Workshop, Rome, Italy, June 2014.
  48. M. Kezunovic, L. Xie, S. Grijalva, “The Role of Big Data in Improving Power System Operation and Protection,” Bulk Power System Dynamics and Control Symposium, Rethymnon, Greece, Aug 2013.

Technical Reports

  1. M. Kezunovic, et al., “Systematic Integration of Large Data Sets for Improved Decision-Making,” PSerc Report #15-05, September 2015.

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