Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
| Year of publication: |
2020
|
|---|---|
| Authors: | Yan, Ran ; Wang, Shuaian ; Du, Yuquan |
| Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 138.2020, p. 1-22
|
| Subject: | Fuel consumption prediction | Machine learning | Random forest regressor | Ship fuel efficiency | Ship speed optimization | Schifffahrt | Shipping | Kraftstoff | Motor fuel | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Energiekonsum | Energy consumption | Frachtrate | Freight rate | Massengutschifffahrt | Dry bulk shipping | Energieeinsparung | Energy conservation | Welt | World |
-
Lu, Pin-Hsuan, (2025)
-
Canbulat, Onder, (2019)
-
Can commodity prices predict stock market returns? : the case of dry bulk shipping companies
Melas, Konstantinos D., (2024)
- More ...
-
Du, Yuquan, (2017)
-
Evaluation and prediction of punctuality of vessel arrival at port : a case study of Hong Kong
Chu, Zhong, (2024)
-
Maximization of container slot booking profits for carriers in the liner shipping industry
Guo, Yu, (2021)
- More ...