APA (7th ed.) Citation

Jia, X., Han, Y., Li, Y., Sang, Y., & Zhang, G. (2021). Condition monitoring and performance forecasting of wind turbines based on denoising autoencoder and novel convolutional neural networks. Energy reports, 7, 6354-6365. https://doi.org/10.1016/j.egyr.2021.09.080

Chicago Style (17th ed.) Citation

Jia, Xiongjie, Yang Han, Yanjun Li, Yichen Sang, and Guolei Zhang. "Condition Monitoring and Performance Forecasting of Wind Turbines Based on Denoising Autoencoder and Novel Convolutional Neural Networks." Energy Reports 7 (2021): 6354-6365. https://doi.org/10.1016/j.egyr.2021.09.080.

MLA (9th ed.) Citation

Jia, Xiongjie, et al. "Condition Monitoring and Performance Forecasting of Wind Turbines Based on Denoising Autoencoder and Novel Convolutional Neural Networks." Energy Reports, vol. 7, 2021, pp. 6354-6365, https://doi.org/10.1016/j.egyr.2021.09.080.