Seguir
Ling Zhang
Ling Zhang
Electrical & Computer Engineering, University of Washington
Dirección de correo verificada de uw.edu
Título
Citado por
Citado por
Año
Scenario forecasting of residential load profiles
L Zhang, B Zhang
IEEE Journal on Selected Areas in Communications 38 (1), 84-95, 2019
302019
A convex neural network solver for DCOPF with generalization guarantees
L Zhang, Y Chen, B Zhang
IEEE Transactions on Control of Network Systems 9 (2), 719-730, 2021
292021
Learning to solve DCOPF: A duality approach
Y Chen, L Zhang, B Zhang
Electric Power Systems Research 213, 108595, 2022
132022
Cost-efficient cellular networks powered by micro-grids
L Zhang, Y Cai, Q Shi, G Yu, GY Li
IEEE Transactions on Wireless Communications 16 (9), 6047-6061, 2017
72017
Learning to solve the AC optimal power flow via a lagrangian approach
L Zhang, B Zhang
2022 North American Power Symposium (NAPS), 1-6, 2022
52022
Vulnerabilities of power system operations to load forecasting data injection attacks
Y Chen, Y Tan, L Zhang, B Zhang
2021 IEEE International Conference on Communications, Control, and Computing …, 2021
32021
An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees
L Zhang, D Tabas, B Zhang
arXiv preprint arXiv:2304.01409, 2023
22023
An iterative approach to improving solution quality for ac optimal power flow problems
L Zhang, B Zhang
Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022
22022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–8