APA (7th ed.) Citation

Liu, Z., Chen, X., Huang, Y., Luo, X., Zhang, S., You, G., . . . Kang, Q. (2024). A novel bimodal feature fusion network-based deep learning model with intelligent fusion gate mechanism for short-term photovoltaic power point-interval forecasting. Energy, 303, N.PAG. https://doi.org/10.1016/j.energy.2024.131947

Chicago Style (17th ed.) Citation

Liu, Zhi-Feng, Xiao-Rui Chen, Ya-He Huang, Xing-Fu Luo, Shu-Rui Zhang, Guo-Dong You, Xiao-Yong Qiang, and Qing Kang. "A Novel Bimodal Feature Fusion Network-based Deep Learning Model with Intelligent Fusion Gate Mechanism for Short-term Photovoltaic Power Point-interval Forecasting." Energy 303 (2024): N.PAG. https://doi.org/10.1016/j.energy.2024.131947.

MLA (9th ed.) Citation

Liu, Zhi-Feng, et al. "A Novel Bimodal Feature Fusion Network-based Deep Learning Model with Intelligent Fusion Gate Mechanism for Short-term Photovoltaic Power Point-interval Forecasting." Energy, vol. 303, 2024, p. N.PAG, https://doi.org/10.1016/j.energy.2024.131947.