Ship emission mitigation strategies choice under uncertainty
10.3390/en13092213
Saved in:
Main Authors: | Yuan, J., Wang, H., Ng, S.H., Nian, V. |
---|---|
Other Authors: | INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT |
Format: | Article |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/198909 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Ship energy consumption prediction with Gaussian process metamodel
by: Yuan, J., et al.
Published: (2022) -
Neural network modeling based on the bayesian method for evaluating shipping mitigation measures
by: Yuan, J., et al.
Published: (2021) -
Reducing emissions of atmospheric pollutants along major dry bulk and tanker routes through autonomous shipping
by: Liu, Jiahui, et al.
Published: (2022) -
Abatement of atmospheric pollutant emissions with autonomous shipping in maritime transportation using Bayesian probabilistic forecasting
by: Liu, Jiahui, et al.
Published: (2022) -
Impact of disruption on ship emissions in port: case of pandemic in Long Beach
by: He, Zhengxin, et al.
Published: (2023)