APA (7th ed.) Citation

Huang, X., Li, Q., Tai, Y., Chen, Z., Liu, J., Shi, J., & Liu, W. (2022). Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM. Energy (Oxford), 246, 123403. https://doi.org/10.1016/j.energy.2022.123403

Chicago Style (17th ed.) Citation

Huang, Xiaoqiao, Qiong Li, Yonghang Tai, Zaiqing Chen, Jun Liu, Junsheng Shi, and Wuming Liu. "Time Series Forecasting for Hourly Photovoltaic Power Using Conditional Generative Adversarial Network and Bi-LSTM." Energy (Oxford) 246 (2022): 123403. https://doi.org/10.1016/j.energy.2022.123403.

MLA (9th ed.) Citation

Huang, Xiaoqiao, et al. "Time Series Forecasting for Hourly Photovoltaic Power Using Conditional Generative Adversarial Network and Bi-LSTM." Energy (Oxford), vol. 246, 2022, p. 123403, https://doi.org/10.1016/j.energy.2022.123403.