Cite
Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting.
MLA
Moon, Yeeun, et al. “Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting.” Energies (19961073), vol. 17, no. 15, Aug. 2024, p. 3666. EBSCOhost, https://doi.org/10.3390/en17153666.
APA
Moon, Y., Lee, Y., Hwang, Y., & Jeong, J. (2024). Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting. Energies (19961073), 17(15), 3666. https://doi.org/10.3390/en17153666
Chicago
Moon, Yeeun, Younjeong Lee, Yejin Hwang, and Jongpil Jeong. 2024. “Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting.” Energies (19961073) 17 (15): 3666. doi:10.3390/en17153666.