APA (7th ed.) Citation

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 (Basel), 17(15), 3666. https://doi.org/10.3390/en17153666

Chicago Style (17th ed.) Citation

Moon, Yeeun, Younjeong Lee, Yejin Hwang, and Jongpil Jeong. "Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting." Energies (Basel) 17, no. 15 (2024): 3666. https://doi.org/10.3390/en17153666.

MLA (9th ed.) Citation

Moon, Yeeun, et al. "Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting." Energies (Basel), vol. 17, no. 15, 2024, p. 3666, https://doi.org/10.3390/en17153666.