Publications

Books and Book Chapter

    1. L. Xie, Y. Weng, and R. Rajagopal, “Data Science and Applications for Modern Power Systems”, Springer, 2022. [400+ pages]

    2. Y. Zhang, R. Yang, J. Zhang, Y. Weng, and B. M. Hodge, "Chapter 16. Predictive Analytics for Comprehensive Energy Systems State Estimation", Big Data Application in Power Systems, Elsevier, 2017. [Link] [30 pages]

Conference Papers in Computer Science (Bridge the Gap between Energy Systems and Data Science)

    1. H. Li, Y. Weng, and H. Tong, 25.6%, "CONSOLE: Convex Neural Symbolic Learning", Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, Nov 2022. [Link] [Preprint]

    2. J. Yuan and Y. Weng, 26%, "Physically Invertible System Identification for Monitoring System Edges with Unobservability", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Grenoble, France, Sep 2022. [Link] [Preprint]

    3. H. Li, H. Tong, and Y. Weng, 14.9%, "Domain Adaptation in Physical Systems via Graph Kernel", ACM SIGKDD, Pages 868-876, Washington D.C., Aug 2022. [Link] [Preprint]

    4. J. Yuan, Y. Weng, and E. Blasch, 14.9%, "Intrinsic-Motivated Sensor Management: Exploring with Physical Surprise", ACM SIGKDD, Washington D.C., Aug 2022. [Link] [Preprint]

    5. J. Yuan and Y. Weng, 9.9%, "Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability", IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand, Dec 2021. [Link] [Preprint]

    6. H. Li and Y. Weng, 15%, "Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability", ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 925-933, Singapore, Aug 2021. [Link] [Preprint]

    7. H. Li, Y. Weng, and H. Tong, 9.8%, "Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model", IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, Nov 2020. [Link] [Preprint]

    8. N. Enriquez and Y. Weng, 26.9%, "Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models", Asian Conference on Machine Learning (ACML), Virtual, Nov 2021. [Link] [Preprint]

    9. P. Sundary and Y. Weng, 32%, "Auto-Physics-Encoder: Using Physics-Informed Latent Layer Two-Way Physics Flow for Monitoring Systems with Unobservability", Asian Conference on Machine Learning (ACML), Hyderabad, India, Dec 2022. [Link] [Preprint]

Journal Papers

    1. J. Yuan and Y. Weng, "Enhance Unobservable Solar Generation Estimation via Constructive Generative Adversarial Networks", IEEE Transactions on Power Systems, Mar 2023. [Link] [Preprint]

    2. L. Kong, Y. Weng, B. Glaz, M. Haile, and Y. Lai, "Reservoir Computing as Digital Twins for Nonlinear Dynamical Systems", Chaos, Feb 2023. [Link] [Preprint]

    3. X. Tang, Q. Cui, Y. Weng, Y. Su, and D. Li, "Identify Incipient Faults Through Similarity Comparison with Waveform Split-Recognition Framework", Frontiers in Energy Research, Feb 2023. [Link] [Preprint]

    4. H. Li, Z. Ma, Y. Weng, E. Blasch, and S. Santoso, "Structural Tensor Learning for Event Identification with Limited Labels", IEEE Transactions on Power Systems, Dec 2022. [Link] [Preprint]

    5. Y. Wang, Q. Cui, Y. Weng, D. Li, and W. Li, "Learning Picturized and Time-series Data for Fault Location with Renewable Energy Sources", International Journal of Electrical Power and Energy Systems, Nov 2022. [Link] [Preprint]

    6. K. Guddanti, Y. Weng, A. Marot, B. Donnot, and P. Panciatici, "Graph Neural Networks for Voltage Stability Margins with Topology Flexibilities", IEEE Open Access Journal of Power and Energy, Nov 2022. [Link] [Preprint]

    7. M. Moradi, Y. Weng, and Y. Lai, "Defending Smart Electrical Power Grids Against Cyberattacks with Deep Q-learning", PRX Energy, Oct 2022. [Link] [Preprint]

    8. A. Ramapuram-Matavalam, K. Guddanti, Y. Weng, and V. Ajjarapu, "Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading", IEEE Transactions on Power Systems, Sep 2022. [Link] [Preprint]

    9. P. Sundaray and Y. Weng, "Alternative Auto-Encoder for State Estimation in Distribution Systems with Unobservability", IEEE Transactions on Smart Grid, Sep 2022. [Link] [Preprint]

    10. N. Enriquez and Y. Weng, "Attack Power System State Estimation by Implicitly Learning the Underlying Models", IEEE Transactions on Smart Grid, vol. 14, no. 1, pp. 649-662, Jan 2023. [Link] [Preprint]

    11. Y. Weng, S. Luo, Q. Cui, R. Trask, and H. Wang, "Evaluate DC Meter Adoption for House-Level Storage Devices", IEEE Transactions on Smart Grid, vol. 14, no. 1, pp. 464-475, Jan 2023. [Link] [Preprint]

    12. J. Wu, J. Yuan, and Y. Weng, and R. Ayyanar, "Spatial-Temporal Deep Learning for Hosting Capacity Analysis in Distribution Grids", IEEE Transactions on Smart Grid, vol. 14, no. 1, pp. 354-364, Jan 2023. [Link] [Preprint]

    13. X. Zheng, C. Chen, and Y. Weng, H. Ye, Z. Liu, P. Gao, and N. Tai, "High-Frequency Fault Analysis Based Pilot Protection Scheme for a Distribution Network with High Photovoltaic Penetration", IEEE Transactions on Smart Grid, vol. 14, no. 1, pp. 302-314, Jan 2023. [Link] [Preprint]

    14. Y. Weng, Q. Cui, and M. Guo, "Transform Waveforms into Signature Vectors for General-Purpose Incipient Fault Detection", IEEE Transactions on Power Delivery, vol 37, no. 6, pp. 4559-4569, Dec 2022. [Link] [Preprint]

    15. H. Li, Z. Ma, and Y. Weng, "A Transfer Learning Framework for Power System Event Identification", IEEE Transactions on Power Systems, vol 37, no. 6, pp. 4424-4435, Nov 2022. [Link] [Preprint]

    16. E. Cook, M. B. Saleem, Y. Weng, S. Abate, K. Kelly-Pitou, B. Grainger, "Density-based Clustering Algorithm for Associating Transformers with Smart Meters via GPS-AMI Data", International Journal of Electrical Power and Energy Systems, vol 142, Part B, pp. 108291, Nov 2022. [Link] [Preprint]

    17. C. Chen, X. Zheng, Y. Weng, Y. Liu, P. Guo, and L. Tai, "Adaptive Distance Protection Based on the Analytical Model of Additional Impedance for Inverter-Interfaced Renewable Power Plants During Asymmetrical Faults", IEEE Transactions on Power Delivery, vol 37, no. 5, pp. 3823-3834, Oct 2022. [Link] [Preprint]

    18. Y. Liao, Y. Weng, C. Tan, and R. Rajagopal, "Quick Line Outage Identification in Urban Distribution Grids via Smart Meters", CSEE Journal of Power and Energy Systems, vol. 8, no. 4, pp. 1074-1086, July 2022. [Link] [Preprint]

    19. E. Cook, S. Luo, and Y. Weng, "Solar Panel Identification via Deep Semi-supervised Learning and Deep One-Class Classification", IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 2516-2526, Jul 2022. [Link] [Preprint]

    20. A. Shefaei, M. Mohammadpourfard, B. Mohammadi-ivatloo, and Y. Weng, "Revealing a New Vulnerability of Distributed State Estimation: A Data Integrity Attack and an Unsupervised Detection Algorithm", IEEE Transactions on Control of Network Systems, vol. 9, no. 2, pp. 706-718, June 2022. [Link] [Preprint]

    21. B. Cui, Y. Weng, and N. Zhang, "A Feature Extraction and Machine Learning Framework for Bearing Fault Diagnosis", Renewable Energy, vol. 191, pp. 987-997, May 2022. [Link] [Preprint]

    22. J. Yuan and Y. Weng, "Support Matrix Regression for Learning Power Flow in Distribution Grid with Unobservability", IEEE Transactions on Power Systems, vol. 37, no. 2, pp. 1151-1161, Mar 2022. [Link] [Preprint]

    23. J. Yuan, Y. Weng, and C. Tan, "Determining Maximum Hosting Capacity for PV systems in Distribution Grids", International Journal of Electrical Power and Energy Systems, vol. 135. pp. 107342, Feb 2022. [Link] [Preprint]

    24. M. Mohammadpourfard, Y. Weng, A. Khalili, I. Genc, A. Shefaei, and B. Mohammadi-ivatloo, "Cyber-Physical Attack Conduction and Detection in Decentralized Power Systems", IEEE Access, vol. 10, pp. 29277-29286, Feb 2022. [Link] [Preprint]

    25. K. Guddanti, Y. Weng, and B. Zhang, "A Matrix-Inversion-Free Fixed-Point Method for Distributed Power Flow Analysis", IEEE Transactions on Power Systems, vol. 37, no. 1, Jan 2021. [Link] [Preprint]

    26. G. Xie, X. Chen, and Y. Weng, "Enhance Load Forecastability: Optimize Data Sampling Policy by Reinforcing User Behaviors", European Journal of Operational Research, vol. 295, no. 3, pp. 924-934, Dec 2021. [Link] [Preprint]

    27. Q. Cui, G. Kim, and Y. Weng, "Twin-Delayed Deep Deterministic Policy Gradient for Low-Frequency Oscillation Damping Control", Energies, vol. 14, no. 20, pp. 6695, Oct 2021. [Link] [Preprint]

    28. A. Arif, K. Imran, Q. Cui, and Y. Weng, "Islanding Detection for Inverter-Based Distributed Generation Using Unsupervised Anomaly Detection", IEEE Access, vol. 9, pp. 90947-90963, Jun 2021. [Link] [Preprint]

    29. H. Li, Y. Weng, Y. Liao, B. Keel, and B. Ken, "Distribution Grid Impedance & Topology Estimation with Limited or No PMUs", International Journal of Electrical Power and Energy Systems, vol. 129, pp. 106794, Jul 2021. [Link] [Preprint]

    30. B. Saleem, Y. Weng, and F. Gonzales, "Association Rule Mining for Localizing Solar Power in Different Distribution Grid Feeders", IEEE Transactions on Smart Grid, vol. 12, no. 3, pp. 2589-2600, May 2021. [Link] [Preprint]

    31. Q. Cui, Y. Hashmy, Y. Weng, and M. Dyer, "Reinforcement Learning Based Recloser Control for Distribution Cables with Degraded Insulation Level", IEEE Transactions on Power Delivery, vol. 36, no. 2, pp. 1118-1127, Apr 2021. [Link] [Preprint]

    32. N. Enriquez, Y. Weng, and B. Zhang "Combining Newton-Raphson and Stochastic Gradient Descent for Power Flow Analysis", IEEE Transactions on Power Systems, vol. 36, no. 1. pp. 514-517, Jan 2021. [Link] [Preprint]

    33. Q. Cui and Y. Weng, "An Environment-Adaptive Protection Scheme with Long-Term Reward for Distribution Networks", International Journal of Electrical Power and Energy Systems, vol. 124, pp. 106350, Jan 2021. [Link] [Preprint]

    34. S. Hashmy, Z. Yu, D. Shi and Y. Weng, “Wide Area Measurement System-based Low Frequency Oscillation Damping Control through Reinforcement Learning”, IEEE Transactions on Smart Grid, vol. 11, no. 6. pp. 5072-5083, Nov 2020. [Link] [Preprint]

    35. G. Xie, X. Chen, and Y. Weng, "Input Modeling and Uncertainty Quantification for Improving Volatile Residential Load Forecasting", Energy, vol. 221, Nov 2020. [Link] [Preprint]

    36. J. Zhang, Y. Wang, Y. Weng, and N. Zhang, "Topology Identification and Line Parameter Estimation for non-PMU Distribution Network: A Numerical Method,” IEEE Transactions on Smart Grid, vol. 11, no. 5. pp. 4440-4453, Sep 2020. [Link] [Preprint]

    37. M. Mohammadpourfard, Y. Weng, M. Pechenizkiy, M. Tajdinian, and B. Mohammadi-ivatloo, "Ensuring Cybersecurity of Smart Grid against Data Integrity Attacks under Concept Drift", International Journal of Electrical Power and Energy Systems, vol. 119, pp. 105947, Jul 2020. [Link] [Preprint]

    38. K. Guddanti, A. Ramapuram, Y. Weng, "PMU-based Distributed Non-iterative Algorithm for Real-time Voltage Stability Monitoring", IEEE Transactions on Smart Grid, vol. 11, no. 6. pp. 5203-5215, Jul 2020. [Link] [Preprint]

    39. Y. Weng, R. Rajagopal, and B. Zhang, "A Geometric Analysis of Power System Loadability Regions", IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 3580-3592, Jul 2020. [Link] [Preprint]

    40. M. Tajdinian, M. Allahbakhshi, M. Mohammadpourfard, B. M. Ivatloo, Y. Weng, and Z. Dong, "Probabilistic Framework for Transient Stability Contingency Ranking of Power Grids with Active Distribution Networks: Application in Post Disturbance Security Assessment", IET Generation, Transmission & Distribution, vol. 14, no. 5, pp. 719-727, Mar 2020. [Link] [Preprint]

    41. Q. Cui and Y. Weng, "Enhance High Impedance Fault Detection and Location Accuracy μ-PMUs", IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 797-809, Jan 2020. [Link] [Preprint]

    42. Y. Liao, Y. Weng, G. Liu, Z. Zhao, C-W. Tan, and R. Rajagopal "Unbalanced Multi-Phase Distribution Grid Topology Estimation and Bus Phase Identification", IET Smart Grid, vol. 2, no. 4, pp. 557-570, Dec 2019. [Link] [Preprint]

    43. Q. Cui, Y. Weng, and C. Tan, "Electric Vehicle Charging Station Placement Method for Urban Areas", IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6552-6565, Nov 2019. [Link] [Preprint]

    44. Q. Cui, K. El-Arroudi, and Y. Weng, "A Feature Selection Method for High Impedance Fault Detection", IEEE Transactions on Power Delivery, vol. 34, no. 3, pp. 1203-1215, Jun 2019. [Link] [Preprint]

    45. J. Yu, Y. Weng, and R. Rajagopal, "PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time Varying System in Distribution Grids", IEEE Transactions on Power Systems, vol. 34, no. 3, pp. 1682-1692, May 2019. [Link] [Preprint]

    46. S. Luo and Y. Weng, "A Two-Stage Supervised Learning Approach for Electricity Price Forecasting by Leveraging Different Data Sources", Applied Energy, vol. 242, pp. 1497-1512, May 2019. [Link] [Preprint]

    47. M. Mohammadpourfard, Y. Weng, and M. Tajdinian, "Benchmark of Machine Learning Algorithms on Capturing Future Distribution Network Anomalies", IET Generation, Transmission & Distribution, vol. 13, no. 8, pp. 1441-1455, Apr 2019. [Link] [Preprint]

    48. Y. Liao, Y. Weng, and R. Rajagopal "Urban MV and LV Distribution Grid Topology Estimation via Group Lasso", IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 12-27, Jan 2019. [Link] [Preprint]

    49. G. Xie, X. Chen, and Y. Weng, "An Integrated Gaussian Process Modeling Framework for Residential Load Prediction", IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 7238-7248, Nov 2018. [Link] [Preprint]

    50. Y. Weng, J. Yu, and R. Rajagopal, "Probabilistic Baseline Estimation-based on Load Patterns for Better Residential Customer Rewards", International Journal of Electrical Power and Energy Systems, vol. 100, pp. 508-516, Sep 2018. [Link] [Preprint]

    51. J. Yu, Y. Weng, and R. Rajagopal, "PaToPa: A Data-Driven Parameter and Topology Joint Estimation Framework in Distribution Grids", IEEE Transactions on Power Systems, vol. 33, no. 4, pp. 4335-4347, Jul 2018. [Link] [Preprint]

    52. M. Mohammadpourfard, A. Sami, and Y. Weng, "Identification of False Data Injection Attacks with Considering the Impact of Wind Generation and Topology Reconfigurations", IEEE Transactions on Sustainable Energy, vol. 9, no. 3, pp. 1349-1364, Jul 2018. [Link] [Preprint]

    53. Y. Weng, J. Yu, and R. Rajagopal, "Performance Guaranteed State Estimation for Renewable Penetration with Improved Meters", IET Journal of Engineering, vol. 2018, no. 6, pp. 323-331, Jun 2018. [Link] [Preprint]

    54. P. Li, B. Zhang, Y. Weng, and R. Rajagopal, "A Sparse Linear Model and Significance Test for Individual Consumption Prediction", IEEE Transactions on Power Systems, vol. 32, no. 6, pp. 4489-4500, Nov 2017. [Link] [Preprint]

    55. Y. Weng, R. Negi, and M. Ilic, "Probabilistic Joint State Estimation for Operational Planning", IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 601-612, Sep 2017. [Link] [Preprint]

    56. Y. Weng, Y. Liao, and R. Rajagopal, "Distributed Energy Resources Connectivity Identification via Graphical Modeling", IEEE Transactions on Power Systems, vol. 32 no. 4, pp. 2682-2694, Jul 2017. [Link] [Preprint]

    57. Y. Weng, R. Negi, C. Faloutsos, and M. D. Ilic, "Robust Data-Driven State Estimation for Smart Grid", IEEE Transactions on Smart Grids, vol. 8, no. 4, pp. 1956-1967, Jul 2017. [Link] [Preprint]

    58. Y. Weng, M. D. Ilic, Q. Li, and R. Negi, "Distributed Algorithms for Convexified Bad Data and Topology Error Detection and Identification Problems", International Journal of Electrical Power and Energy Systems, vol. 83, pp. 241-250, Dec 2016, [Link] [Preprint].

    59. Y. Weng, M. D. Ilic, Q. Li, and R. Negi, "Convexification of Bad Data and Topology Error Detection and Identification Problems in AC Electric Power Systems", IET Generation, Transmission & Distribution, vol. 9, no. 16, pp. 2760-2767, Dec 2015. [Link] [Preprint]

    60. Q. Li, T. Cui, Y. Weng, R. Negi, F. Franchetti, and M. D. Ilic, "An information theoretic approach to PMU placement in electric power systems", IEEE Transactions on Smart Grid, Special Issue on Computational Intelligence Applications in Smart Grids, vol. 4, no. 1, pp. 446-456, Mar 2013, Invited. [Link] [Preprint]

    61. Y. Weng and D. Tuninetti, "Outage Analysis of Block-Fading Gaussian Interference Channels", IEEE Transactions on Information Theory, vol. 57, no. 10, pp. 6487-6501, Oct 2011. [Link] [Preprint]

Other Conference Papers (e.g., Power Areas)

    1. M. Mohammadpourfard, F. Ghanaatpishe, Y. Weng, I. Genc, and M. T. Sandıkkaya, "Real-Time Detection of Cyber-Attacks in Modern Power Grids with Uncertainty using Deep Learning", International Conference on Smart Energy Systems and Technologies (SEST), Eindhoven, Netherlands, Sep 2022. [Link] [Preprint]

    2. S. Luo, Y. Weng, E. Cook, R. Trask, E. Blasch, "Solar Panel Identification Under Limited Labels", IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, Jul 2022. [Link] [Preprint]

    3. H. Li, Z. Ma, Y. Weng, E. Farantatos, "Transfer Learning for Event-Type Differentiation on Power Systems", IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), Split, Croatia, May 2022. [Link] [Preprint]

    4. M. Mohammadpourfard, Y. Weng, I. Genc, and T. Kim, "An Accurate False Data Injection Attack (FDIA) Detection in Renewable-Rich Power Grids", CPS-IoT Week, Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Milan, Italy, May 2022. [Link] [Preprint]

    5. K. P. Guddanti, Y. Ye, P. Chongfuangprinya, B. Yang, and Y. Weng, [Best Papers] "Better Data Structures for Co-simulation of Distribution System with GridLAB-D and Python", IEEE Power & Energy Society General Meeting (PESGM), Montreal, Canada, Aug 2020. [Link] [Preprint]

    6. Q. Cui and Y. Weng, [Best Paper Award] "Mining Partially Labeled Data from Edge Devices to Detect and Locate High Impedance Faults", IEEE Sustainable Power and Energy Conference (ISPEC), Beijing, China, Nov 2019. [Link] [Preprint]

    7. A. Shefaei, M. Mohammadpourfard, B. Mohammadi-ivatloo, A. Anvari-Moghaddam, and Y. Weng, "Detection and Localization of FDIA on Distributed State Estimation in Two Operation Modes of Interconnected Power System", The CMI Conference, Copenhagen, Denmark, Nov 2019. [Link] [Preprint]

    8. J. Yuan, Q. Cui, Z. Ma and Y. Weng, [Best Paper (Presentation) Award, Ranking 1st out of 203 Participating Papers] "Learning EV Placement Factors with Social Welfare and Economic Variation Modeling", IEEE North American Power Symposium (NAPS), Wichita, KS, Oct 2019. [Link] [Preprint] [Sildes]

    9. Y. Hashmy, Q. Cui, Z. Ma and Y. Weng, "Arcing Fault Detection with Interpretable Learning Model Under the Integration of Renewable Energy", IEEE North American Power Symposium (NAPS), Wichita, KS, Oct 2019. [Link] [Preprint] [Sildes]

    10. H. Li and Y. Weng, E. Farantatos, and M. Patel, "An Unsupervised Learning Framework for Event Detection, Type Identification and Localization Using PMUs Without Any Historical Labels", IEEE Power and Energy Society General Meeting (PESGM), Atlanta, GA, Aug 2019. [Link] [Preprint]

    11. H. Li and Y. Weng, E. Farantatos, and M. Patel, "A Hybrid Machine Learning Framework for Enhancing PMU-based Event Identification with Limited Labels", IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), College Station, TX, May 2019. [Link] [Preprint]

    12. Y. Weng, A. Kumar, B. Saleem, and B. Zhang, "Big Data and Deep Learning Platform for Terabyte-Scale Renewable Datasets", International Conference on Power Systems Computation Conference (PSCC), Dublin, Ireland, Jun 2018. [Link] [Preprint]

    13. Y. Weng, Y. Liao, M. Ilic, and D. Srinivasan, [Best Paper Award] "Electric vehicle robot-based testbed for future grid's evaluation", IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, China, Nov 2017. [Link] [Preprint]

    14. W. Zhang, H. Quan, O. Gandhi, C. D. Rodríguez-Gallegos, D. Srinivasan, and Y. Weng, "Dynamic and Fast Electric Vehicle Charging Coordinating Scheme, Considering V2G based VAR Compensation", IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, China, Nov 2017. [Link] [Preprint]

    15. J. Yu, Y. Weng, and R. Rajagopal, "Data-Driven Joint Topology and Line Parameter Estimation for Renewable Integration", IEEE Power & Energy Society General Meeting (PESGM), Chicago, IL, Jul 2017. [Link] [Preprint]

    16. J. Yu, Y. Weng, and R. Rajagopal, "Robust Mapping Rule Estimation for Power Flow Analysis in Distribution Grids", North American Power Symposium (NAPS), Morgantown, WV, Sep 2017. [Link] [Preprint]

    17. G. Xie, X. Chen, and Y. Weng, "An Adaptive Communication Scheme for Bandwidth Limited Residential Load Forecasting", North American Power Symposium (NAPS), Morgantown, WV, Sep 2017. [Link] [Preprint]

    18. Y. Liao, Y. Weng, C. Tan, and R. Rajagopal, [Golden Best Paper Award, Ranking 1st of all paper submissions], "Urban Distribution Grid Line Outage Identification", International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Beijing, China, Oct 2016. [Link] [Preprint]

    19. P. Li, B. Zhang, Y. Weng, and R. Rajagopal, "Autoregressive Model for Individual Consumption Data Sparsity Recovery and Significance Test", IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, Jul 2016. [Link] [Preprint]

    20. Y. Liao, Y. Weng, and R. Rajagopal, "Urban Distribution Grid Topology Reconstruction via Lasso", IEEE Power and Energy Society General Meeting (PESGM), Jul 2016. [Link][Preprint]

    21. J. Yu, Y. Weng, and R. Rajagopal, "Probabilistic Estimation of the Potentials of Intervention-based Demand Side Energy Management", IEEE SmartGridComm Symposium (SGC), Miami, FL, Nov 2015. [Link] [Preprint]

    22. Y. Liao, Y. Weng, M. Wu, and R. Rajagopal, "Distribution Grid Topology Reconstruction: An Information Theoretic Approach", North American Power Symposium (NAPS), Charlotte, NC, Oct 2015. [Link] [Preprint]

    23. Y. Weng and R. Rajagopal, "Probabilistic Baseline Estimation via Gaussian Process", IEEE Power and Energy Society General Meeting (PESGM), Denver, CO, Jul 2015. [Link] [Preprint]

    24. M. S. Uddin, A. Kuh, Y. Weng, and M. D. Ilic, "Online Bad Data Detection Using Kernel Density Estimation", IEEE Power and Energy Society General Meeting (PESGM), Denver, CO, Jul 2015. [Link] [Preprint]

    25. Y. Weng, C. Faloutsos, and M. D. Ilic, "Data-Driven Topology Estimation", IEEE SmartGridComm Symposium (SGC), Venice, Italy, Nov 2014. [Link] [Preprint]

    26. Y. Weng, C. Faloutsos, and M. D. Ilic, "PowerScope: Early Event Detection and Identification in Electric Power Systems", The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2nd International Workshop on Data Analytics for Renewable Energy Integration, Nancy, France, Sep 2014. [Link] [Preprint]

    27. M. D. Ilic, X. Yin, Q. Liu, and Y. Weng, [Best Papers], "Toward Combining Intra-Real Time Dispatch (RTD) and AGC for On-Line Power Balancing", IEEE Power and Energy Society General Meeting (PESGM), National Harbor, MD, Jul 2014. [Link] [Preprint]

    28. Y. Weng, C. Faloutsos, M. D. Ilic, and R. Negi, "Speed up of Data-Driven State Estimation Using Low-Complexity Indexing Method", IEEE Power and Energy Society General Meeting (PESGM), National Harbor, MD, Jul 2014. [Link] [Preprint]

    29. Y. Weng and M. D. Ilic, "An Approach to Achieving Global Optimum of AC Electric Power System State Estimators", IEEE Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, Feb 2014. [Link] [Preprint]

    30. Y. Weng, R. Negi and M. D. Ilic, [Ranking First of All Submissions], "Graphical Model for State Estimation in Electric Power Systems", IEEE SmartGridComm Symposium (SGC), Vancouver, Canada, Oct 2013. [Link] [Preprint]

    31. Y. Weng, R. Negi, and M. Ilic, "Historical Data-Driven State Estimation for Electric Power Systems", IEEE SmartGridComm Symposium (SGC), Vancouver, Canada, Oct 2013. [Link] [Preprint]

    32. Y. Weng, B. Fardanesh, M. D. Ilic, and Rohit Negi, "Novel Approaches using Semidefinite Programming Method for Power Systems State Estimation", IEEE North American Symposium (NAPS), Manhattan, KS, Sep 2013. [Link] [Preprint]

    33. Y. Weng, Q. Li, R. Negi, and M. D. Ilic, "Distributed Algorithm for SDP State Estimation", IEEE Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, Feb 2013. [Link] [Preprint]

    34. Y. Weng, R. Negi, and M. D. Ilic, [Best Paper Award], "A Search Method for Obtaining Initial Guesses for Smart Grid State Estimation", IEEE International Conference on SmartGridComm Symposium (SGC), Tainan, Taiwan, Dec 2012. [Link] [Preprint]

    35. Y. Weng, Qiao Li, Rohit Negi, and Marija D. Ilic, "Semidefinite Programming for Power System State Estimation", IEEE Power and Energy Society General Meeting (PESGM), San Diego, CA, Jul 2012. [Link] [Preprint]

    36. Y. Weng, R. Negi, Z. Liu, and M. Ilic, "Robust State Estimation Procedure using a Least Trimmed Squares Pre-processor", IEEE Innovative Smart Grid Technologies Conference (ISGT), Anaheim, CA, Jan 2011. [Link] [Preprint]

    37. Y. Weng and D. Tuninetti, "Outage Analysis of Block-Fading Gaussian Interference Channels: General Case", IEEE International Conference on Communications (ICC), Cape Town, South Africa, May 2010. [Link] [Preprint]

    38. Y. Weng and D. Tuninetti, "Outage Analysis of Block-Fading Gaussian-Interference-Channels", IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC), Perugia, Italy, Jun 2009. [Link] [Preprint]

    39. Y. Weng and D. Tuninetti, "Gaussian Fading Interference Channels: Power Control and Outage Probability", The General Assembly of the International Union of Radio Science (URSI), Chicago, IL, Aug 2008. Invited. [Link] [Preprint]

    40. D. Tuninetti and Y. Weng, "On The Han-Kobayashi Achievable Region For Gaussian Interference Channels", Proceedings of the IEEE International Symposium on Information Theory (ISIT), Toronto, Canada, pp. 240-244, Jul 2008. [Link] [Preprint]

    41. Y. Weng and D. Tuninetti, "On Gaussian Interference Channels with Mixed Interference", Information Theory and Applications Workshop (ITA), San Diego, CA, Jan 2008. Invited. [Link] [Preprint]