American Psychological Association 6th edition

Caraka, R. E., Rung Ching Chen, Bakar, S. A., Tahmid, M., Toharudin, T., Pardamean, B., & Su-Wen Huang. (2020). Employing Best Input SVR Robust Lost Function with Nature-Inspired Metaheuristics in Wind Speed Energy Forecasting. IAENG International Journal of Computer Science, 47(3), 572-584.

ISO-690 (author-date, English)

CARAKA, Rezzy Eko, RUNG CHING CHEN, BAKAR, Sakhinah Abu, TAHMID, Muhammad, TOHARUDIN, Toni, PARDAMEAN, Bens und SU-WEN HUANG, 2020. Employing Best Input SVR Robust Lost Function with Nature-Inspired Metaheuristics in Wind Speed Energy Forecasting. IAENG International Journal of Computer Science. 1 September 2020. Vol. 47, no. 3, p. 572-584.

Modern Language Association 9th edition

Caraka, R. E., Rung Ching Chen, S. A. Bakar, M. Tahmid, T. Toharudin, B. Pardamean, und Su-Wen Huang. „Employing Best Input SVR Robust Lost Function With Nature-Inspired Metaheuristics in Wind Speed Energy Forecasting.“. IAENG International Journal of Computer Science, Bd. 47, Nr. 3, September 2020, S. 572-84.

Mohr Siebeck - Recht (Deutsch - Österreich)

Caraka, Rezzy Eko/Rung Ching Chen/Bakar, Sakhinah Abu/Tahmid, Muhammad/Toharudin, Toni/Pardamean, Bens u. a.: Employing Best Input SVR Robust Lost Function with Nature-Inspired Metaheuristics in Wind Speed Energy Forecasting., IAENG International Journal of Computer Science 2020, 572-584.

Emerald - Harvard

Caraka, R.E., Rung Ching Chen, Bakar, S.A., Tahmid, M., Toharudin, T., Pardamean, B. und Su-Wen Huang. (2020), „Employing Best Input SVR Robust Lost Function with Nature-Inspired Metaheuristics in Wind Speed Energy Forecasting.“, IAENG International Journal of Computer Science, Vol. 47 No. 3, S. 572-584.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.