Yuting Chen, "Uncertainty Quantification in Power System State Estimation Based on
Set-Membership Filters," Ph.D. Dissertation, supervised by Dr. Ning Zhou, Binghamton
University, Vestal, NY, USA, 2024.
Tawsif Ahmad, "Advanced Probabilistic Methods for Solar Power Forecasting and Grid
Stability Analysis," Ph.D. Dissertation, supervised by Dr. Ning Zhou, Binghamton University,
Vestal, NY, USA, 2024.
Gavin Trevorrow, "Forecasting-based Power System State Estimation Method for Time-Skew
Problem in Measurements," MS Thesis, supervised by Dr. Ning Zhou, SUNY Binghamton
University, June 2022
Hossein Sangrody, “Forecasting Models and Uncertainty Analysis for Power Consumption
and Generation from Renewable Energy Sources,” Ph.D. Dissertation, supervised by Dr.
Ning Zhou, Binghamton University, Vestal, NY, USA, 2020.
Chunyang Pan, "Forecasting models for state estimation with time skew in power systems,"
MS Thesis, supervised by Dr. Ning Zhou, Binghamton University, Vestal, NY, USA, 2020.
Yuting Chen, "A comparative study on state estimation algorithms for power systems,"
MS Thesis, supervised by Dr. Ning Zhou, Binghamton University, Vestal, NY, USA, 2019.
Journal Paper
Yuting Chen, Ning Zhou, Ziang Zhang, “Quantifying Uncertainty in State Estimation: The MoK-FoBS
Method via Interval Analysis,” IEEE Access, vol. 13, pp. 10805-10819, Jan 2025, doi:
10.1109/ACCESS.2024.3524563.
Tawsif Ahmad, Ning Zhou, Ziang Zhang, Wenyuan Tang, “Enhancing Probabilistic Solar
PV Forecasting: Integrating the NB-DST Method with Deterministic Models,” Energies.
May 2024; 17(10):2392. https://doi.org/10.3390/en17102392
Yuting Chen, Ning Zhou, Ziang Zhang, “Modified Eigen-Decomposition-based Interval Analysis (MEDIA)
for Power System Dynamic State Estimation," in IEEE Transactions on Power Systems,
vol. 39, no. 2, pp. 4549-4560, March 2024.
Ning Zhou, Shaobu Wang, Junbo Zhao, Zhenyu Huang, Renke Huang, " Observability and
Detectability Analyses for the Dynamic State Estimation of the Marginally Observable
Model of a Synchronous Machine," IET Generation, Transmission & Distribution, vol. 16, no.7, pp. 1277-1471, April 2022.
Ning Zhou, Shaobu Wang, Junbo Zhao, Zhenyu Huang, "Application of detectability analysis
for power system dynamic state estimation," IEEE Transactions on Power Systems (IEEE PES Letters), 35, no. 4 (2020): 3274-3277.
Hossein Sangrody, Ning Zhou, and Ziang Zhang. "Similarity-based models for day-ahead
solar PV generation forecasting." IEEE Access 8 (2020): 104469-104478.
Conference Paper
Tawsif Ahmad, Ning Zhou, “Enhancing Solar Power Forecasting with Regularized Constrained
Quantile Regression Averaging and Bootstrapping Techniques,” 2024 IEEE PES General
Meeting, Seattle, WA, USA, July 21-25, 2024
Gavin Trevorrow, Ning Zhou, "Regression Model Forecasting for Time-Skew Problems in Power System State Estimation."
In 2023 North American Power Symposium (NAPS), pp. 1-6. IEEE, Asheville, North Carolina,
USA, Oct 15-17, 2023.
Tawsif Ahmad, Ning Zhou, “Ensemble Methods for Probabilistic Solar Power Forecasting:
A Comparative Study,” 2023 IEEE PES General Meeting, Orlando, FL, USA, July 16-20, 2023.
Nicholas Piaquadio, N. Eva Wu, Ning Zhou, “Developments in Robust Topology Detection
under Load Uncertainty,” 2022 American Control Conference, to be held in Atlanta, Georgia, USA during the week of June 6, 2022
Yuting Chen, Ning Zhou, "A comparative study on state estimation algorithms for power
systems," 52nd North American Power Symposium, Arizona State University, Tempe, Arizona, USA, April 11-14, 2021.