Fetching the paper…
Reading the bibliography…
The existence of multiple load-solution mappings of non-convex AC-OPF problems poses a fundamental challenge to deep neural network (DNN) schemes.
1905
Earlier work this paper cites.
R. D. Zimmerman, C. E. Murillo-Sánchez, R. J. Thomas et al. , “MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Trans. Power Syst. , vol. 26, no. 1, pp. 12–19, Feb. 2011
2011
Earlier work this paper cites.
W. A. Bukhsh, A. Grothey, K. I. McKinnon, and P. A. Trodden, “Local solutions of the optimal power flow problem,” IEEE Trans. Power Syst. , vol. 28, no. 4, pp. 4780–4788, 2013
2013
Earlier work this paper cites.
Y. Ng, S. Misra, L. A. Roald, and S. Backhaus, “Statistical learning for DC optimal power flow,” in Proc. of IEEE PSCC , 2018
2018
Earlier work this paper cites.
F. Fioretto, T. W. Mak, and P. Van Hentenryck, “Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods,” in Proc. AAAI , vol. 34, no. 01, 2020, pp. 630–637
2020
Cited alongside, same era.
A. S. Zamzam and K. Baker, “Learning optimal solutions for extremely fast AC optimal power flow,” in Proc. IEEE SmartGridComm , 2020
2020
Cited alongside, same era.
2020
Cited alongside, same era.
L. Zhang, Y. Chen, and B. Zhang, “A convex neural network solver for dcopf with generalization guarantees,” IEEE Trans. Control. Netw. Syst., Early Access , 2021
2021
Cited alongside, same era.
W. Huang, X. Pan, M. Chen, and S. H. Low, “Deepopf-v: Solving ac-opf problems efficiently,” IEEE Trans. Power Syst. , vol. 37, no. 1, pp. 800–803, 2021
2021
Later among the works it cites.
2021
Later among the works it cites.
W. Huang and M. Chen, “DeepOPF-NGT: A Fast Unsupervised Learning Approach for Solving AC-OPF Problems without Ground Truth,” in ICML Workshop on Tackling Climate Change with Learning , 2021
2021
Later among the works it cites.
X. Pan, T. Zhao, M. Chen, and S. Zhang, “DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow,” IEEE Trans. Power Syst. , vol. 36, no. 3, pp. 1725–1735, May 2021
2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…