APA (7th ed.) Citation

Li, Y., Wang, R., Li, Y., Zhang, M., & Long, C. (2023). Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach. Applied energy, 329, 120291. https://doi.org/10.1016/j.apenergy.2022.120291

Chicago Style (17th ed.) Citation

Li, Yang, Ruinong Wang, Yuanzheng Li, Meng Zhang, and Chao Long. "Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach." Applied Energy 329 (2023): 120291. https://doi.org/10.1016/j.apenergy.2022.120291.

MLA (9th ed.) Citation

Li, Yang, et al. "Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach." Applied Energy, vol. 329, 2023, p. 120291, https://doi.org/10.1016/j.apenergy.2022.120291.