Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network-Reference-Cited by-同舟云学术

Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network

Published:2020 Issue: Volume: Page:155-166
ISSN:2661-8141
Container-title:Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
language:
Short-container-title:

Author:

Alonso Serafín^ORCID,Morán Antonio^ORCID,Pérez Daniel^ORCID,Prada Miguel A.^ORCID,Fuertes Juan J.^ORCID,Domínguez Manuel^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-48791-1_11

Reference23 articles.

1. BIO Intelligence Service: Water performance of buildings. Tech. rep. Final report prepared for European Commission, DG Environment (2012)

2. Duxbury Advanced Series in Statistics and Decision Sciences;B Bowerman,2005

3. Dziegielewski, B., Kiefer, J.C., Opitz, E.M., Porter, G.A., Lantz, G.L.: Commercial and Institutional End Uses of Water. American Water Works Association Research Foundation (2000)

4. Eades, W.G.: Energy and water recovery using air-handling unit condensate from laboratory HVAC systems. Sustain. Cities Soc. 42, 162–175 (2018). https://doi.org/10.1016/j.scs.2018.07.006

5. Famiglietti, J.S.: The global groundwater crisis. Nat. Clim. Change 4(11), 945–948 (2014). https://doi.org/10.1038/nclimate2425

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating vaporization heat, thermal performance, and efficiency of a natural draft wet cooling tower;Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy;2022-05-04

2. Virtual sensor for probabilistic estimation of the evaporation in cooling towers;Integrated Computer-Aided Engineering;2021-08-27