IEEE Copyright Information: Personal use of this material is permitted. However, permission to reprint/republishthis material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the copyright holder.

Estimation, control, and data analytics

We focus on estimation, control, and data analytic problems in transmission and distribution systems.

1. L. Tong, X. Wang, and Q. Zhao
   Grid Monitoring and Protection with Continuous Point-on-Wave Measurements and Generative AI
   Working Paper March, 2024
   
   
2. Ahmed Alahmed, Lang Tong and Qing Zhao
   Co-optimizing distributed energy resources in linear complexity under net energy metering
   IEEE Transactions on Sustainabable Energy , to appear in 2024.
   See an earlier version on arXiv.
   
   
3. S. Salgia, X. Wang, Q. Zhao and L. Tong
   Adaptive Binning Coincidence Test for Uniformity Testing
   IEEE Transactions on Signal Processing, vol. 72, pp. 2421-2435, 2024
   See an earlier version on arXiv.
   
   
4. X. Wang, L. Tong and Q. Zhao
   Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
   2024 58th Annual Conference on Information Sciences and Systems (CISS)Princeton, NJ, March, 2024
   
   
5. Kursat Mestav, Xinyi Wang, and Lang Tong
   A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems
   IEEE Transactions on Power Systems, Volume: 38, Issue: 1, January 2023
   See an earlier version on arXiv.
   
   
6. Xinyi Wang and Lang Tong
   Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection
   Journal of Machine Learning Research, vol. 23, no. 49., pp. 1-27, 2022
   See an earlier version on arXiv.
   
   
7. Liangliang Hao, Yunjian Xu, and Lang Tong
   Asymptotically Optimal Lagrangian Priority Policy for Deadline Scheduling with Processing Rate Limits
   IEEE Transactions on Automatic Control, vol. 67, no. 1, pp. 236-250, Jan, 2022
   
   
8. Yuting Ji, Weisi Ding, and Lang Tong
   Probabilistic Forecasting of Power System and Market Operations
   In Advanced Data Analytics for Power Systems, pp. 28-49, Ed. Ali Tajer, Samir Perlaza, and H. Vincent Poor, Cambridge University Press, 2021
   See an earlier version.
   
   
9. Xinyi Wang, Yilu Liu, and Lang Tong
   Adaptive Subband Compression for Streaming of Continuous Point-on-Wave and PMU Data
   IEEE Transactions on Power Systems, vol. 36, no. 6, pp 5612-5621, Nov., 2021
   See an earlier version on arXiv.
   
   
10. Hannes Hagmar, Lang Tong, Robert Eriksson, and Le Anh Tuan
    Voltage instability prediction using a deep recurrent neural network
    IEEE Transactions on Power Systems, vol 36, no. 1, pp. 17-27, Jan, 2021.
    See an earlier version on arXiv.
    
    
11. Kursat. Mestav and Lang Tong
    Universal data anomaly detection via inverse generative adversary network
    IEEE Signal Processing Letters, vol 27, March, 2020.
    See an earlier version on arXiv.
    
    
12. K. Mestav and Lang Tong
    Learning the unobservable: high-resolution state estimation via deep learning
    Proc. 57th Annual Allerton Conf. Communications, Control, and Computing, Sept 24-27, 2019
    
    
13. Kursat Mestav, J. Luengo-Rozas, and L. Tong
    Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning
    IEEE Transactions on Power Systems, vol. 34, issue 6, Nov. 2019.
    See earlier versions at arXiv
    
    
14. Tao Sun, Lang Tong, and Donghan Feng
    On the dynamics of distributed energy adoption: equilibrium, stability, and limiting capacity
    IEEE Transactions on Automatic Control, vol. 65, issue 1, Jan. 2020.
    See earlier versions at arXiv
    
    
15. S. Baltaoglu, L. Tong, and Q. Zhao
    Algorithmic Bidding for Virtual Trading in Electricity Markets
    IEEE Transactions on Power Systems, (Early access) August, 2018.
    See earlier versions at arXiv
    
    
16. Y. Xu and L. Tong
    Optimal operation and economic value of energy storage at consumer locations
    IEEE Transactions on Automatic Control, vol. 62, Issue 2, pp 792-807, 2017
    
    
17. Y. Ji, L. Tong, and R. J. Thomas
    Probabilistic forecast of real-time LMP and network congestion
    IEEE Transactions on Power Systems, vol. 32, issue 2, pp. 831 - 841, March 2017
    See an earlier version on arXiv.
    
    
18. Z. Yu and L. Tong
    Demand response via large scale charging of electric vehicles
    IEEE PES General Meeting, 2016
    
    
19. L. Jia and Lang Tong
    Renewables and storage in distribution systems: centralized vs. decentralized integration
    IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 665-674, 2016.
    See an earlier version on arXiv.
    
    
20. L. Jia and Lang Tong
    Dynamic pricing and distributed energy management for demand response
    IEEE Transactions on Smart Grid,, vol. 7, no. 2, pp. 1128-1136, 2016.
    See an earlier version on arXiv.
    
    
21. T. Routtenberg, Y. Xie, R. M. Willett, and L. Tong
    PMU based detection of imbalance in three phase power systems
    IEEE Transactions on Power Systems.vol. 30, no. 4, pp. 1966-1976, 2015
    See an earlier version on arXiv.
    
    
22. S. Vakili, L. Tong, and Q. Zhao
    Bayesian quickest short-term voltage instability detection in power systems
    Proc. IEEE Conf. Decision and Control (CDC) Dec, 2015
    
    
23. Z. Yu, L. Jia, M. Murphy-Hoye, A. Pratt, and L. Tong
    Modeling and stochastic control for home energy management,
    IEEE Trans. Smart Grid, vol. 4, no. 4, December, 2013
    
    
24. Liyan Jia, Qing Zhao and Lang Tong
    Retail pricing for stochastic demand with unknown parameters: an online machine learning approach
    2013 Allerton Conference on Communication, Control and Computing, Oct., 2013.
    See also a related work Online learning and optimization of jump Markov models.