A cloud-based Bi-directional LSTM approach to grid-connected solar PV energy forecasting for multi-energy systems.

MLA

Liu, Qi, et al. “A Cloud-Based Bi-Directional LSTM Approach to Grid-Connected Solar PV Energy Forecasting for Multi-Energy Systems.” Sustainable Computing: Informatics & Systems, vol. 40, Dec. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.suscom.2023.100892.

APA

Liu, Q., Darteh, O. F., Bilal, M., Huang, X., Attique, M., Liu, X., & Acakpovi, A. (2023). A cloud-based Bi-directional LSTM approach to grid-connected solar PV energy forecasting for multi-energy systems. Sustainable Computing: Informatics & Systems, 40, N.PAG. https://doi.org/10.1016/j.suscom.2023.100892

Chicago

Liu, Qi, Oscar Famous Darteh, Muhammad Bilal, Xianming Huang, Muhammad Attique, Xiaodong Liu, and Amevi Acakpovi. 2023. “A Cloud-Based Bi-Directional LSTM Approach to Grid-Connected Solar PV Energy Forecasting for Multi-Energy Systems.” Sustainable Computing: Informatics & Systems 40 (December): N.PAG. doi:10.1016/j.suscom.2023.100892.