Cite
A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks.
MLA
Fan, Lin, et al. “A Deep Reinforcement Learning-Based Method for Predictive Management of Demand Response in Natural Gas Pipeline Networks.” Journal of Cleaner Production, vol. 335, Feb. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.jclepro.2021.130274.
APA
Fan, L., Su, H., Zio, E., Chi, L., Zhang, L., Zhou, J., Liu, Z., & Zhang, J. (2022). A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks. Journal of Cleaner Production, 335, N.PAG. https://doi.org/10.1016/j.jclepro.2021.130274
Chicago
Fan, Lin, Huai Su, Enrico Zio, Lixun Chi, Li Zhang, Jing Zhou, Zhe Liu, and Jinjun Zhang. 2022. “A Deep Reinforcement Learning-Based Method for Predictive Management of Demand Response in Natural Gas Pipeline Networks.” Journal of Cleaner Production 335 (February): N.PAG. doi:10.1016/j.jclepro.2021.130274.