A novel GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data

Kai Wang*, Yu Hua, Lianzhong Huang, Xin Guo, Xing Liu, Zhongmin Ma, Ranqi Ma, Xiaoli Jiang

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
27 Downloads (Pure)

Fingerprint

Dive into the research topics of 'A novel GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data'. Together they form a unique fingerprint.

INIS

Engineering