Preprints and Recent Publications

Taghieh, A., Park, S., “Stability of Data-Driven Predictive Control for Nonlinear Systems via Koopman Embeddings,” accepted to IEEE Control Systems Letters (L-CSS).

Taghieh, A., Cibaku, E., Park, S., “Learning Koopman Observables via Kolmogorov-Arnold Networks for Power System Transient Analysis and Model Predictive Control,” accepted for presentation at 2025 64th IEEE Conference on Decision and Control (CDC).

Choi, S., Jain, R., Feng, C., Emami, P., Zhang, H., Hong, J., Kim, T., Park, S., Ding, F., Baggu, M., Kroposki, B., NREL Technical Report: “Generative AI for Power Grid Operations.”

Al-Tawaha, A., Cibaku, E., Park, S., Jin, M., Lavaei, J., “Distributed Optimization and Learning: A Paradigm Shift for Power Systems,” IEEE Systems Journal, vol.19, 2025.

KC, P., Taghieh, A. Palacios, M., Rashidioun, M., Swissler, P., Park, S., “Optimal Reconfiguration of Distributed Battery Networks Under Connectivity and Energy Constraints,” IISE Annual Conference & Expo 2026.

Nandepu, C., Kalepu, L., Ciavarella, G., Park, S., “Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows,” IISE Annual Conference & Expo 2026.

Cibaku, E., Das, S., Park, S., “Multi-Pickup and Multi-Delivery of Restaurant Orders: A Capacity-Constrained K-means Clustering Approach,” submitted.

Journal Articles

2025

Cafforio, F., Park, S., Giannoccaro, I., Abdel-Malek, L., “Resilience of Circular Supply Chains: Analyzing the impact of take-back strategies via efficient computation of post-disturbance equilibrium,” Sustainable Development, 2025.

Kargar, B., Park, S., “Assessing the Value of Heterogeneous Elasticities for Incentive-based Residential Demand Response,” IEEE Access, vol.13, 2025.

2024

Cibaku, E., Park, S., “Boosting Efficiency in State Estimation of Power Systems by Leveraging Attention Mechanism,” Energy and AI, vol.16, 2024.

2022

Park, S., Glista, E., Lavaei, J., Sojoudi, S., “An Efficient Homotopy Method for Solving the Post-contingency Optimal Power Flow to Global Optimality,” IEEE Access, vol.10, 2022.

Mulvaney-Kemp, J., Park, S., Jin, M., Lavaei, J., “Dynamic Regret Bounds for Online Nonconvex Optimization,” IEEE Transactions on Control of Network Systems, vol.10(2), pp. 599-611, 2022.

Zhang, H., Park, S., Lavaei, J., Baldick, R., “Uniqueness of Power Flow Solutions Using Graph-theoretic Notions,” IEEE Transactions on Control of Network Systems, vol.9(1), pp. 100-112, 2022.

2021

Park, S., Mohammadi-Ghazi, R., Lavaei, J., “Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation,” IEEE Access, vol.9, pp. 137198-137210, 2021.

2020

Park, S., Zhang, R.Y., Lavaei, J., Baldick, R., “Uniqueness of Power Flow Solutions Using Monotonicity and Network Topology,” IEEE Transactions on Control of Network Systems, vol.8(1), pp. 310-330, 2020.

2019

Park, S., Xu, Q., Hobbs, B.R., “Comparing Scenario Reduction Methods for Stochastic Transmission Planning,” IET Generation, Transmission & Distribution, vol.13(7), pp. 1005-1013, 2019.

2016

Hobbs, B.F., Xu, Q., Ho, J.L., Donohoo-Vallett, P.E., Kasina, S., Ouyang, Y., Park, S., Eto, J., Satyal, V., “Adaptive Transmission Planning: Implementing a New Paradigm for Managing Economic Risks in Grid Expansion,” IEEE Power and Energy Magazine, vol.14(4), pp. 30-40, 2016.

Conference Proceedings

Park, S., Pandey, A., “Power System Anomaly Detection via Context-Aware Learning,” 2025 IEEE Power & Energy Society General Meeting (PESGM).

Cafforio, F., Park, S., Giannoccaro, I., Abdel-Malek, L., “Modeling circular supply chains resilience: A case study in fashion industry,” Twenty-third International Working Seminar on Production Economics, 2024.

Park, S., Giannoccaro, I., Abdel-Malek, L., “A Measure of Resilience for Circular Supply Chains and its Implications for Material Handling of Recyclables,” 2023 International Material Handling Research Colloquium (IMHRC).

Park, S., Gama. F., Lavaei, J., Sojoudi, S., “Distributed Power System State Estimation using Graph Convolutional Neural Networks,” 2023, Hawaii International Conference on Systems Sciences.

Park, S., Mulvaney-Kemp, J., Jin, M., Lavaei, J., “Diminishing regret for online nonconvex optimization,” American Controls Conference (ACC) 2021.

Park, S., Glista, E., Lavaei, J., Sojoudi, S., “Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow,” American Controls Conference (ACC) 2020.

Park, S., Mohammadi-Ghazi, R., Lavaei, J., “Topology Error Detection and Robust State Estimation Using Nonlinear Least Absolute Value,” American Controls Conference (ACC) 2019.

Park, S., Zhang, R.Y., Lavaei, J., Baldick, R., “Monotonicity Between Phase Angles and Power Flow and Its Implications for the Uniqueness of Solutions,” Hawaii International Conference on Systems Sciences, 2019.

Hobbs, B.F., Ho, J.L., Donohoo-Vallett, P.E., Xu, Q., Kasina, S., Park, S., Ouyang, Y., “What is the Benefit of Including Uncertainty in Transmission Planning? A WECC Case Study,” Hawaii International Conference on Systems Sciences (HICSS) 2016.

Technical Reports

Ho, J.L., Hobbs, B.F., Donohoo-Vallett, P.E., Xu, Q., Kasina, S., Park, S., Ouyang, Y., “Planning Transmission for Uncertainty: Applications and Lessons with the Western Interconnection” – Technical Report prepared for WECC and Lawrence Berkeley National Laboratory, 2016.

Dissertation

Park, S. (2022) Computational Methods for the Design and Operations of Electric Power Systems: Towards Resiliency and Security. PhD dissertation, Department of Industrial Engineering and Operations Research, University of California, Berkeley