American Psychological Association 6th edition

Yıldırım, R., Şencan Şahin, A., & Pence, I. (2025). Machine learning algorithms for predicting energy and exergy performance of vapor compression refrigeration cycle with internal heat exchanger. Journal of Thermal Analysis and Calorimetry: An International Forum for Thermal Studies, 150(24), 20291-20301. https://doi.org/10.1007/s10973-025-14954-7

ISO-690 (author-date, English)

YILDIRIM, Ragıp, ŞENCAN ŞAHIN, Arzu und PENCE, Ihsan, 2025. Machine learning algorithms for predicting energy and exergy performance of vapor compression refrigeration cycle with internal heat exchanger. Journal of Thermal Analysis and Calorimetry: An International Forum for Thermal Studies. 1 Dezember 2025. Vol. 150, no. 24, p. 20291-20301. DOI 10.1007/s10973-025-14954-7.

Modern Language Association 9th edition

Yıldırım, R., A. Şencan Şahin, und I. Pence. „Machine Learning Algorithms for Predicting Energy and Exergy Performance of Vapor Compression Refrigeration Cycle With Internal Heat Exchanger“. Journal of Thermal Analysis and Calorimetry: An International Forum for Thermal Studies, Bd. 150, Nr. 24, Dezember 2025, S. 20291-0, https://doi.org/10.1007/s10973-025-14954-7.

Mohr Siebeck - Recht (Deutsch - Österreich)

Yıldırım, Ragıp/Şencan Şahin, Arzu/Pence, Ihsan: Machine learning algorithms for predicting energy and exergy performance of vapor compression refrigeration cycle with internal heat exchanger, Journal of Thermal Analysis and Calorimetry: An International Forum for Thermal Studies 2025, 20291-20301.

Emerald - Harvard

Yıldırım, R., Şencan Şahin, A. und Pence, I. (2025), „Machine learning algorithms for predicting energy and exergy performance of vapor compression refrigeration cycle with internal heat exchanger“, Journal of Thermal Analysis and Calorimetry: An International Forum for Thermal Studies, Vol. 150 No. 24, S. 20291-20301.

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