APA (7th ed.) Citation

Qin, J. C., Jiang, R., Mo, H., & Dong, D. (2025). A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty. International journal of machine learning and cybernetics, 16(2), 1111-1127. https://doi.org/10.1007/s13042-024-02325-x

Chicago Style (17th ed.) Citation

Qin, James Ciyu, Rujun Jiang, Huadong Mo, and Daoyi Dong. "A Data-driven Mixed Integer Programming Approach for Joint Chance-constrained Optimal Power Flow Under Uncertainty." International Journal of Machine Learning and Cybernetics 16, no. 2 (2025): 1111-1127. https://doi.org/10.1007/s13042-024-02325-x.

MLA (9th ed.) Citation

Qin, James Ciyu, et al. "A Data-driven Mixed Integer Programming Approach for Joint Chance-constrained Optimal Power Flow Under Uncertainty." International Journal of Machine Learning and Cybernetics, vol. 16, no. 2, 2025, pp. 1111-1127, https://doi.org/10.1007/s13042-024-02325-x.