APA (7th ed.) Citation

Li, Y., Li, J., & Wang, Y. (2022). Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach. IEEE transactions on industrial informatics, 18(4), 2310-2320. https://doi.org/10.1109/TII.2021.3098259

Chicago Style (17th ed.) Citation

Li, Yang, Jiazheng Li, and Yi Wang. "Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach." IEEE Transactions on Industrial Informatics 18, no. 4 (2022): 2310-2320. https://doi.org/10.1109/TII.2021.3098259.

MLA (9th ed.) Citation

Li, Yang, et al. "Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach." IEEE Transactions on Industrial Informatics, vol. 18, no. 4, 2022, pp. 2310-2320, https://doi.org/10.1109/TII.2021.3098259.