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  1. M. Pau; F. Ponci; A. Monti; S. Sulis; C. Muscas; P. A. Pegoraro, “An Efficient and Accurate Solution for Distribution System State Estimation with Multiarea Architecture,” in IEEE Transactions on Instrumentation and Measurement, in press, 2017.
  2. M. Asprou and E. Kyriakides, “Identification and estimation of erroneous transmission line parameters using PMU measurements,” IEEE Transactions on Power Delivery, (Early Access) 2017.
  3. A. Angioni, J. Shang, F. Ponci and A. Monti, “Real-Time Monitoring of Distribution System Based on State Estimation,” in IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 10, pp. 2234-2243, Oct. 2016.
  4. M. Pau, A. Sadu, S. Pillai, F. Ponci and A. Monti, “A state estimation algorithm for hybrid AC/DC networks with multi-terminal DC grid,” 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Ljubljana, Slovenia, Oct. 2016.
  5. A. Angioni et al., “Bayesian distribution system state estimation in presence of non-Gaussian pseudo-measurements,” 2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, Sept. 2016.
  6. A. Sadu, M. Pau, S. Pillai, F. Ponci and A. Monti, “Impact of uncertainty propagation on the design of state estimation for hybrid ac-dc grids,” 2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, Sept. 2016.
  7. M. Pau et al., “Low voltage system state estimation based on smart metering infrastructure,” 2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, Sept. 2016.
  8. L. Zacharia, M. Asprou, and E. Kyriakides, “Design of a data delay compensation technique based on a linear predictor for wide-area measurements,” IEEE Power and Energy Society General Meeting, Boston, MA, USA, pp. 1-5, July 2016.
  9. C. Muscas, P. A. Pegoraro, S. Sulis, M. Pau, F. Ponci and A. Monti, “Fast multi-area approach for distribution system state estimation,” 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, Taipei, May 2016.
  10. A. Sharma, S. C. Srivastava and S. Chakrabarti, “Testing and Validation of Power System Dynamic State Estimators Using Real Time Digital Simulator (RTDS),”  IEEE Transactions on Power Systems, vol. 31, no. 3, pp. 2338-2347, May 2016.
  11. M. Asprou, E. Kyriakides, A. Dumitrescu, and M. Albu, “The impact of PMU measurement delays and a heterogenous communication network on a linear state estimator,” 18th Mediterranean Electrotechnical Conference (MELECON 2016), Limassol, Cyprus, pp. 1-6, Apr. 2016.
  12. A. Sharma, S. C. Srivastava and S. Chakrabarti, “An Iterative Multiarea State Estimation Approach Using Area Slack Bus Adjustment”, IEEE Systems Journal, vol. 10, no. 1, pp. 69-77, March 2016.
  13. A. Dubey and S. Chakrabarti, “An unscented Kalman filter based hybrid state estimator considering conventional and PMU measurements,” 6th IEEE International Conference on Power Systems (ICPS 2016), March 4-6, 2016.
  14. R. Fernandes, et al., “Application of a phasor-only state estimator to a large power system using real PMU data,” IEEE Transactions on Power Systems, vol. 32, no. 1, pp. 411-420, January 2016.
  15. A. Sharma, S. C. Srivastava and S. Chakrabarti, “Multi-agent- based dynamic state estimator for multi-area power system,” IET Generation, Transmission Distribution, vol. 10, no. 1, pp. 131-141, January 2016.
  16. A. Angioni, T. Schlösser, F. Ponci and A. Monti, “Impact of Pseudo-Measurements From New Power Profiles on State Estimation in Low-Voltage Grids,” in IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 1, pp. 70-77, Jan. 2016.
  17. G. Milis, M. Asprou, E. Kyriakides, C. Panayiotou, and M. Polycarpou, “Semantically-enhanced configurability in state estimation structures of power systems,” Computational Intelligence Applications in Smart Grid (CIASG 2015), Cape Town, South Africa, pp. 1-6, Dec. 2015.
  18. J. G. Sreenath, S. Chakrabarti, and Ankush Sharma, “Implementation of Rauch-TungStriebel smoother for power system dynamic state estimation in the presence of PMU measurements,” IEEE PES Innovative Smart Grid Technologies in Asia 2015, Bangkok, Thailand, 4-6 November, 2015.
  19. A. Angioni, J. Shang, F. Ponci and A. Monti, “Design and test of a real time monitoring system based on a distribution system state estimation,” 2015 IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, Sept. 2015, pp. 102-107.
  20. M. Asprou and E. Kyriakides, “Estimation of transmission line parameters using PMU measurements,” IEEE Power and Energy Society General Meeting, Denver, CO, USA, pp. 1-5, July 2015.
  21. T. Bi, D. Yuan, L. Chen, Q. Yang, “Synchrophasor Measurements based Power System Distributed Dynamic State Estimation,” Invited Panel Paper, IEEE Power and Energy Society General Meeting, Denver, CO, USA, pp. 1-5, July 2015.
  22. G. Pieri, M. Asprou, and E. Kyriakides, “Load pseudomeasurements in distribution system state estimation,” IEEE PowerTech 2015, Eindhoven, The Netherlands, pp. 1-6, June 2015.
  23. M. Asprou and E. Kyriakides, “The effect of time-delayed measurements on a PMU-based state estimator,” IEEE PowerTech 2015, Eindhoven, The Netherlands, pp. 1-6, June 2015.
  24. M. Jha, S. Chakrabarti, and E. Kyriakides, “Estimation of the rotor angle of a synchronous generator by using PMU measurements,” IEEE PowerTech 2015, Eindhoven, The Netherlands, pp. 1-6, June 2015.
  25. A. Sharma, S. C. Srivastava and S. Chakrabarti, “A multi-agent- based power system hybrid dynamic state estimator,” IEEE Intelligent Systems, vol. 30, no. 3, pp. 52-59, May-June 2015.
  26. C. Muscas, M. Pau, P. A. Pegoraro, S. Sulis, F. Ponci and A. Monti, “Multiarea Distribution System State Estimation,” in IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 5, pp. 1140-1148, May 2015.
  27. V. Murugesan, Y. Chakhchoukh, V. Vittal, G. T. Heydt, N. Logic, and S. Sturgill, “Error Detection and Error Correction for PMU Data as Applied to State Estimators,” IEEE Power and Energy Technology Systems Journal, Vol. 2, pp. 1-9, 2015.
  28. C. Muscas, S. Sulis, A. Angioni, F. Ponci and A. Monti, “Impact of Different Uncertainty Sources on a Three-Phase State Estimator for Distribution Networks,” in IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 9, pp. 2200-2209, Sept. 2014.
  29. M. Ferdowsi, B. Zargar, F. Ponci and A. Monti, “Design considerations for artificial neural network-based estimators in monitoring of distribution systems,” 2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS), Sept. Aachen, 2014.
  30. M. Asprou, E. Kyriakides, & M. Albu, “The effect of variable weights in a WLS state estimator considering instrument transformer uncertainties”, IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 6, pp. 1484-1495, June 2014.
  31. T. Schlösser, A. Angioni, F. Ponci and A. Monti, “Impact of pseudo-measurements from new load profiles on state estimation in distribution grids,” 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Montevideo, May 2014, pp. 625-630.
  32. C. Muscas, M. Pau, P. A. Pegoraro, S. Sulis, F. Ponci and A. Monti, “Two-step procedures for wide-area Distribution System State Estimation,” 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Montevideo, May 2014, pp. 1517-1522.
  33. M. Ferdowsi, A. Löwen, P. McKeever, A. Monti, F. Ponci and A. Benigni, “New monitoring approach for distribution systems,” 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Montevideo, 2014, pp. 1506-1511.
  34. L. Yang, Z. Jiao, X. Kang, X. Wang, “A novel matrix pencil method for real-time power frequency phasor estimation under power system transients,” 12th IET International Conference on Developments in Power System Protection (DPSP 2014), Copenhagen, 31 March-3 April 2014.
  35. A. Sharma, S. C. Srivastava, and S. Chakrabarti, “Multi area state estimation for smart grid application utilizing all SCADA and PMU measurements,” 2014 IEEE Innovative Smart Grid Technologies Conference, Asia (ISGT ASIA), 20-23 March, 2014, Kuala Lumpur, Malaysia.
  36. M. Asprou, S. Chakrabarti, &E. Kyriakides “A two-stage state estimator for dynamic monitoring of power systems,” IEEE Systems Journal, (Early Access), 2014.
  37. S. G. Ghiocel, J. H. Chow, G. Stefopoulos, B. Fardanesh, D.Maragal, M. Razanousky, and D. B. Bertagnolli, “Phasor State Estimation for Synchrophasor Data Quality Improvement and Power Transfer Interface Monitoring,”IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 881-888, 2014.
  38. Y. Chakhchoukh, V. Vittal, G. T. Heydt, “PMU Based State Estimation by Integrating Correlation,” IEEE Transactions on Power Systems, Vol. 29, No.2, pp. 617-626, March 2014.
  39. K. Dongare, S. Chakrabarti, and E. Kyriakides, “Power system state estimation considering realtime equivalents of the external networks,” IEEE PES Innovative Smart Grid Technologies Asia 2013 (ISGT Asia 2013), Bangalore, India, pp. 1-6, Nov. 2013.
  40. M. Vardikar, S. Chakrabarti, and E. Kyriakides, “Transformation of measurements for using external network equivalents in state estimation,” IEEE Power and Energy Society General Meeting, Vancouver, Canada, pp. 1-5, July 2013.
  41. M. Asprou, E. Kyriakides, and M. Albu, “The effect of instrument transformer accuracy class on the WLS state estimator accuracy,” IEEE Power and Energy Society General Meeting, Vancouver, Canada, pp. 1-5, July 2013.
  42. P. Banerjee, S. C. Srivastava and M. Ramamoorty, “Fast estimation of dynamic variations in voltage and current phasor for power system application”, IEEE PES General Meeting, Vancouver, Canada, July 21-25, 2013.
  43. A. Sharma, S. C. Srivastava and S. Chakrabarti, “Multi Area State Estimation using area slack bus angle adjustment with minimal data exchange”, IEEE PES General Meeting, Vancouver, Canada, July 21-25, 2013.
  44. M. Asprou and E. Kyriakides, “Estimation of line parameters using the hybrid state estimator,” IEEE PowerTech 2013, Grenoble, France, pp. 1-6, June 2013.
  45. Q. Zhang, Y. Chakhchoukh, V. Vittal, G. T. Heydt, N. Logic, S. Sturgill, “Impact of PMU Measurement Buffer Length on State Estimation and its Optimization,” IEEE Transactions on Power Systems, Vol. 28, No. 2, pp. 1657-1665, May 2013.
  46. M. Asprou, E. Kyriakides, and M. Albu, “The effect of parameter and measurement uncertainties on hybrid state estimation,” IEEE Power and Energy Society General Meeting, San Diego, CA, USA, pp. 1-7, July 2012.
  47. Q. Zhang, V. Vittal, G.T. Heydt, Y. Chakhchoukh, N. Logic, S. Sturgill, “The Time Skew Problem in PMU Measurements,” IEEE PES General Meeting 2012, San Diego, CA, July 2012.
  48. J. Liu, J. Tang, F. Ponci, A. Monti, C. Muscas, P. A. Pegoraro, “Trade-Offs in PMU Deployment for State Estimation in Active Distribution Grids,” IEEE Transactions on Smart Grid, vol. 3, no. 2, pp. 915-924, June 2012.
  49. R. Sodhi, S. C. Srivastava and S. N. Singh, “Teager energy based dynamic phasor estimation”, 2012 Annual IEEE India Conference (INDICON), Kochi, 2012, pp. 1158-1163.
  50. M. Lixia, A. Benigni, A. Flammini, C. Muscas, F. Ponci, A. Monti, “A Software-Only PTP Synchronization for Power System State Estimation With PMUs,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 5, pp. 1476-1485, May 2012.
  51. M. Albu, E. Kyriakides, I. M. Florea, and A. M. Dumitrescu, “Analysis of distribution grids: state estimation using model uncertainties,” 2nd IEEE International Workshop on Applied Measurements for Power Systems (AMPS 2011), Aachen, Germany, pp. 1-4, Sep. 2011.
  52. G. Valverde, S. Chakrabarti, E. Kyriakides, & V. Terzija, “A constrained formulation for hybrid state estimation”, IEEE Transactions on Power Systems,Vol. 26, no. 3, pp. 1102-1109, Aug. 2011.
  53. M. Asprou and E. Kyriakides, “Enhancement of hybrid state estimation using pseudo flow measurements,” IEEE Power and Energy Society General Meeting, Detroit, MI, USA, paper no. 1022, pp. 1-7, July 2011.
  54. M. Asprou and E. Kyriakides, “Optimal PMU placement for improving hybrid state estimation accuracy,” IEEE PowerTech 2011, Trondheim, Norway, pp. 1-7, June 2011.
  55. A. Benigni, J. Liu, F. Ponci, A. Monti, G. Pisano and S. Sulis, “Decoupling Power System State Estimation by Means of Stochastic Collocation,” in IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 5, pp. 1623-1632, May 2011.
  56. L. Vanfretti, J. H. Chow, S. Sarawgi, and B. Fardanesh, “A Phasor-Data Based Estimator Incorporating Phase Bias Correction,” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 111-119, Feb. 2011.
  57. S. Chakrabarti, E. Kyriakides, G. Ledwich, and A. Ghosh, “Inclusion of PMU current phasor measurements in a power system state estimator,” IET Generation, Transmission, and Distribution, vol. 4, no. 10, pp. 1104-1115, Sep. 2010.
  58. S. Chakrabarti, E. Kyriakides, G. Ledwich, and A. Ghosh, “A Comparative Study of the Methods of Inclusion of PMU Current Phasor Measurements in a Hybrid State Estimator,” IEEE PES General Meeting, Minnesota, USA Jul. 2010.
  59. A. Benigni, J. Liu, F. Ponci, A. Monti, G. Pisano and S. Sulis, “Decoupling power system state estimation by means of stochastic collocation,” 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings, Austin, TX, May 2010, pp. 789-794.
  60. S. Chakrabarti, E. Kyriakides, and M. Albu, “Uncertainty in power system state variables obtained through synchronized measurements,” IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 8, pp. 2452-2458, Aug. 2009.
  61. T. Bi, X. Qin, Q. Yang, “Dynamic State Estimator with Phasor Measurements for Power System Electromechanical Transient Process,” IEEE/PES Power Engineering Society General Meeting, Invited Panel Session Paper. Calgary, Alberta, Canada, July 26 – 30, 2009.
  62. S. Chakrabarti, E. Kyriakides, G. Valverde, and V. Terzija, “State estimation including synchronized measurements,” IEEE PowerTech 2009, Bucharest, Romania, paper 292, pp. 1-5, June 2009.
  63. S. Chakrabarti and E. Kyriakides, “PMU measurement uncertainty considerations in WLS state estimation,” IEEE Transactions on Power Systems, vol. 24, no. 2, pp. 1062-1071, May 2009.
  64. S. Chakrabarti, E. Kyriakides, and D. G. Eliades, “Placement of synchronized measurements for power system observability,” IEEE Transactions on Power Delivery, vol. 24, no. 1, pp. 12-19, Jan. 2009.
  65. S. Chakrabarti, G. K. Venayagamoorthy, and E. Kyriakides, “PMU placement for power system observability using binary particle swarm optimization,” Australasian Universities Power Engineering Conference (AUPEC 2008), Sydney, Australia, paper P-191, pp. 1-5, Dec. 2008.
  66. W. Jiang, V. Vittal, G. T. Heydt, “Diakoptic State Estimation Using Phasor Measurement Units,” IEEE Transactions on Power Systems, Vol. 23, No. 4, pp.1580-1589, November 2008.
  67. D. Dua, S. Dambhare, R. K. Gajbhiye and S. A. Soman, “Optimal Multistage Scheduling of PMU Placement: An ILP Approach,” IEEE Transactions on Power Delivery, vol. 23, no. 4, pp. 1812-1820, Oct. 2008.
  68. S. Chakrabarti and E. Kyriakides, “Optimal placement of phasor measurement units for power system observability,” IEEE Transactions on Power Systems, vol. 23, no. 3, pp. 1433-1440, Aug. 2008.
  69. A. Benigni, U. Ghisla, G. D’Antona, A. Monti and F. Ponci, “A Decentralized Observer for Electrical Power Systems: Implementation and Experimental Validation,” 2008 IEEE Instrumentation and Measurement Technology Conference, Victoria, BC, May 2008, pp. 859-864.
  70. T. Bi, X. Qin, Q. Yang, “A Novel Hybrid State Estimator for including Synchronized Phasor Measurements,” Electric Power Systems Research,  vol. 78, no. 8, pp. 1343-1352, April 2008.
  71. S. Chakrabarti, D. Eliades, E. Kyriakides, and M. Albu, “Measurement uncertainty considerations in optimal sensor deployment for state estimation,” IEEE International Symposium on Intelligent Signal Processing (WISP 2007), Madrid, Spain, pp. 1-6, Oct. 2007.
  72. G. D’Antona, A. Monti and F. Ponci, “A Decentralized Information Filter for the State Estimation in Electrical Power Systems,” 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, Warsaw, June 2007, pp. 1-5.
  73. W. Jiang, V. Vittal, G.T. Heydt, “A Distributed State Estimator Utilizing Synchronized Phasor Measurements,” IEEE Transactions on Power Systems, Vol. 22, No. 2, pp. 563-571, May 2007.
  74. G. D’Antona, A. Monti and F. Ponci, “A Decentralized State Estimator for Non-Linear Electric Power Systems,” 2007 1st Annual IEEE Systems Conference, Honolulu, HI, April 2007, pp. 1-6.
  75. G. D’Antona, A. Monti, F. Ponci and L. Rocca, “A Distributed State Estimator for Electric Power Systems in Avionic and Naval Applications,” 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings, Sorrento, April 2006, pp. 2312-2316.
  76. N. Logić, E. Kyriakides, and G. T. Heydt, “Lp state estimators for power systems,” Journal of Electric Power Components and Systems, vol. 33, no. 7, pp. 699-712, July 2005.
  77. E. Kyriakides, S. Suryanarayanan, and G. T. Heydt, “State estimation in power engineering using the Huber robust regression technique,” IEEE Transactions on Power Systems, vol. 20, no. 2, pp. 1183-1184, May 2005.