PUBLICATIONS
PAPER
> Publications > Paper| Sutainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks | ||
|---|---|---|
|
||
|
Qian Li, Jorge Loy-Benitez, KiJeon Nam, Soonho Hwangbo*, Jouan Rashidi and ChangKyoo Yoo*, Sutainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks, Energy (ISSN: 0360-5442, SCI, IF=4.15, Top 5% journal – THERMODYNAMICS), Elsevier, 178(7), pp.277-292 (2019.7) (Ack:2017R1E1A1A03070713) |
||
| 이전글 | Present and future incidence of dengue fever in Ecuador nationwide and coast region scale using species distribution modeling for climate variability’s effect | |
| 다음글 | An efficient burst detection and isolation monitoring system for water distribution networks using multivariate statistical techniques | |