American Psychological Association 6th edition

Taş, G. (2025). State of Energy Prediction of Lithium-ion Battery Using Sparrow Search Optimization-Random Forest and State-of-the-Art Artificial Intelligence Methods. Journal of Electrical Engineering & Technology, 1-15. https://doi.org/10.1007/s42835-025-02491-0

ISO-690 (author-date, English)

TAŞ, Göksu, 2025. State of Energy Prediction of Lithium-ion Battery Using Sparrow Search Optimization-Random Forest and State-of-the-Art Artificial Intelligence Methods. Journal of Electrical Engineering & Technology. 7 October 2025. P. 1-15. DOI 10.1007/s42835-025-02491-0.

Modern Language Association 9th edition

Taş, G. “State of Energy Prediction of Lithium-Ion Battery Using Sparrow Search Optimization-Random Forest and State-of-the-Art Artificial Intelligence Methods”. Journal of Electrical Engineering & Technology, Oct. 2025, pp. 1-15, https://doi.org/10.1007/s42835-025-02491-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Taş, Göksu: State of Energy Prediction of Lithium-ion Battery Using Sparrow Search Optimization-Random Forest and State-of-the-Art Artificial Intelligence Methods, Journal of Electrical Engineering & Technology 2025, 1-15.

Emerald - Harvard

Taş, G. (2025), “State of Energy Prediction of Lithium-ion Battery Using Sparrow Search Optimization-Random Forest and State-of-the-Art Artificial Intelligence Methods”, Journal of Electrical Engineering & Technology, pp. 1-15.

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