Upcoming
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L. Zhang, D. Tabas, and B. Zhang, "An Efficient Learning‑based Solver for Two‑stage DC Optimal Power Flow with Feasibility Guarantees,” submitted to IEEE Transactions on Power Systems (under review), arXiv preprint: 2304.01409.
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​L. Zhang, D. Tabas, and B. Zhang, "Convex Restriction of Feasible Sets for AC Radial Networks," submitted to XXII Power Systems Computation Conference (PSCC 2024), arXiv preprint: 2310.00549.
Publications
Journal Papers
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Yize, Chen, L. Zhang, and B. Zhang, "Learning to Solve DCOPF: A Duality Approach," Electric Power Systems Research, 2022.
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L. Zhang, Y. Chen, and B. Zhang, "A Convex Neural Network Solver for DCOPF with Generalization Guarantees," IEEE Transactions on Control of Networked Systems, 2021.
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L. Zhang, and B. Zhang, "Scenario Forecasting of Residential Load Profiles," IEEE Journal on Selected Areas in Communications, Special Issue on Communications and Data Analytics in Smart Grid, 2020.
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L. Zhang, Y. Cai, Q. Shi, G. Yu, and G. Y. Li, "Cost-Efficient Cellular Networks Powered by Micro-grids," IEEE Transactions on Wireless Communication, 2017.
Conference Papers
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​L. Zhang, and B. Zhang, "Learning to Solve the AC Optimal Power Flow via A Lagrangian Approach," 2022 North American Power Symposium (NAPS), 2022.
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L. Zhang, and B. Zhang, "An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems," e-Energy '22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 2022. (Best Paper Finalist)
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Y. Chen, Y. Tan, L. Zhang and Baosen Zhang, "Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks," 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2021.