American Psychological Association 6th edition

Li, B., Wang, H., & Zhang, J. (2025). Short-term power forecasting of photovoltaic generation based on CFOA-CNN-Bi LSTM-Attention. Electrical Engineering: Archiv für Elektrotechnik, 107(8), 10335-10347. https://doi.org/10.1007/s00202-025-03031-9

ISO-690 (author-date, English)

LI, Bing, WANG, Haizheng and ZHANG, Jinghua, 2025. Short-term power forecasting of photovoltaic generation based on CFOA-CNN-Bi LSTM-Attention. Electrical Engineering: Archiv für Elektrotechnik. 1 August 2025. Vol. 107, no. 8, p. 10335-10347. DOI 10.1007/s00202-025-03031-9.

Modern Language Association 9th edition

Li, B., H. Wang, and J. Zhang. “Short-Term Power Forecasting of Photovoltaic Generation Based on CFOA-CNN-Bi LSTM-Attention”. Electrical Engineering: Archiv für Elektrotechnik, vol. 107, no. 8, Aug. 2025, pp. 10335-47, https://doi.org/10.1007/s00202-025-03031-9.

Mohr Siebeck - Recht (Deutsch - Österreich)

Li, Bing/Wang, Haizheng/Zhang, Jinghua: Short-term power forecasting of photovoltaic generation based on CFOA-CNN-Bi LSTM-Attention, Electrical Engineering: Archiv für Elektrotechnik 2025, 10335-10347.

Emerald - Harvard

Li, B., Wang, H. and Zhang, J. (2025), “Short-term power forecasting of photovoltaic generation based on CFOA-CNN-Bi LSTM-Attention”, Electrical Engineering: Archiv für Elektrotechnik, Vol. 107 No. 8, pp. 10335-10347.

Warning: These citations may not always be 100% accurate.