APA (7th ed.) Citation

Te, R., Zhu, T., Bai, W., Shi, J., & Wo, T. (2026). MAFQL: Multi-Agent Flow-Based Q-Learning for Efficient Power Grid Dispatch with High Renewable Penetration. Mathematics (2227-7390), 14(11), 1911. https://doi.org/10.3390/math14111911

Chicago Style (17th ed.) Citation

Te, Rigen, Tianchen Zhu, Weijie Bai, Jianxin Shi, and Tianyu Wo. "MAFQL: Multi-Agent Flow-Based Q-Learning for Efficient Power Grid Dispatch with High Renewable Penetration." Mathematics (2227-7390) 14, no. 11 (2026): 1911. https://doi.org/10.3390/math14111911.

MLA (9th ed.) Citation

Te, Rigen, et al. "MAFQL: Multi-Agent Flow-Based Q-Learning for Efficient Power Grid Dispatch with High Renewable Penetration." Mathematics (2227-7390), vol. 14, no. 11, 2026, p. 1911, https://doi.org/10.3390/math14111911.