Wei, S., Tien, P. W., Wu, Y., & Calautit, J. K. (2021). The impact of deep learning–based equipment usage detection on building energy demand estimation. Building Services Engineering Research & Technology, 42(5), 545-557. https://doi.org/10.1177/01436244211034737
ISO-690 (author-date, English)WEI, Shuangyu, TIEN, Paige Wenbin, WU, Yupeng und CALAUTIT, John Kaiser, 2021. The impact of deep learning–based equipment usage detection on building energy demand estimation. Building Services Engineering Research & Technology. 1 September 2021. Vol. 42, no. 5, p. 545-557. DOI 10.1177/01436244211034737.
Modern Language Association 9th editionWei, S., P. W. Tien, Y. Wu, und J. K. Calautit. „The Impact of Deep learning–based Equipment Usage Detection on Building Energy Demand Estimation.“. Building Services Engineering Research & Technology, Bd. 42, Nr. 5, September 2021, S. 545-57, https://doi.org/10.1177/01436244211034737.
Mohr Siebeck - Recht (Deutsch - Österreich)Wei, Shuangyu/Tien, Paige Wenbin/Wu, Yupeng/Calautit, John Kaiser: The impact of deep learning–based equipment usage detection on building energy demand estimation., Building Services Engineering Research & Technology 2021, 545-557.
Emerald - HarvardWei, S., Tien, P.W., Wu, Y. und Calautit, J.K. (2021), „The impact of deep learning–based equipment usage detection on building energy demand estimation.“, Building Services Engineering Research & Technology, Vol. 42 No. 5, S. 545-557.