Yin, X and Cao, F and Wang, X, “Investigation on the real-time control of the optimal discharge pressure in a transcritical CO2 system with data-handling and neural network method”, Energy Procedia, 13-15 December 2018, Sydney, Australia, pp. 451-458. ISSN 1876-6102 (2019) [Refereed Conference Paper] |
Data Type | Value |
Type of Research | Applied Research |
Research Division | Engineering |
Research Group | Mechanical engineering |
Research Field | Energy generation, conversion and storage (excl. chemical and electrical) |
Research Objective Division | Energy |
Research Objective Group | Energy storage, distribution and supply |
Research Objective Field | Energy systems and analysis |
Visit Item on eCite | http://ecite.utas.edu.au/131322 |
Digital Object Identifier | doi:10.1016/j.egypro.2019.02.180 |
Scopus Source URL | View the full record on Scopus |
Scopus Citing URL | View the list of citing articles on Scopus |
Web of Science® Source URL | View the full record on Web of Science® |
Web of Science® Citing URL | View the list of citing articles on Web of Science® |
Web of Science® Related URL | View the list of related articles on Web of Science® |
Number of Times Cited | 2 |
Number of Downloads | 33 |