Predictive model using artificial neural network to design phase change material-based ocean thermal energy harvesting systems for powering uncrewed underwater vehicles-Reference-Cited by-同舟云学术

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Predictive model using artificial neural network to design phase change material-based ocean thermal energy harvesting systems for powering uncrewed underwater vehicles

Published:2024-08 Issue: Volume:301 Page:131660
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Ouro-Koura Habilou^ORCID,Jung Hyunjun,Li Jinglun^ORCID,Borca-Tasciuc Diana-Andra^ORCID,Copping Andrea E.,Deng Zhiqun Daniel^ORCID

Funder

Water Power Technologies Office

Oak Ridge Associated Universities

Oak Ridge Institute for Science and Education

Office of Energy Efficiency and Renewable Energy

U.S. Department of Energy

Publisher

Elsevier BV

Reference35 articles.

1. A hybrid underwater robot for multidisciplinary investigation of the ocean twilight zone;Yoerger;Sci Robot,2021

2. A system of coordinated autonomous robots for Lagrangian studies of microbes in the oceanic deep chlorophyll maximum;Zhang;Sci Robot,2021

3. High resolution study of the spatial distributions of abyssal fishes by autonomous underwater vehicle;Milligan;Sci Rep,2016

4. A survey of maritime unmanned search system: theory, applications and future directions;Li;Ocean Eng,2023

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