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Peng Wu
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Year
Learn to navigate: cooperative path planning for unmanned surface vehicles using deep reinforcement learning
X Zhou, P Wu, H Zhang, W Guo, Y Liu
Ieee Access 7, 165262-165278, 2019
1242019
Hybrid fuel cell and battery propulsion system modelling and multi-objective optimisation for a coastal ferry
P Wu, R Bucknall
International journal of hydrogen energy 45 (4), 3193-3208, 2020
1072020
Cost-effective reinforcement learning energy management for plug-in hybrid fuel cell and battery ships
P Wu, J Partridge, R Bucknall
Applied Energy 275, 115258, 2020
1012020
CO2 emissions from international shipping: Possible reduction targets and their associated pathways
T Smith, C Raucci, SH Hosseinloo, I Rojon, J Calleya, SS De La Fuente, ...
UMAS: London, UK, 2016
572016
Near-optimal energy management for plug-in hybrid fuel cell and battery propulsion using deep reinforcement learning
P Wu, J Partridge, E Anderlini, Y Liu, R Bucknall
International Journal of Hydrogen Energy 46 (80), 40022-40040, 2021
412021
Marine propulsion using battery power
P Wu, RWG Bucknall
Shipping in Changing Climates Conference 2016, 2016
402016
Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning
S Wang, F Ma, X Yan, P Wu, Y Liu
Applied Ocean Research 110, 102590, 2021
382021
Unsupervised anomaly detection for underwater gliders using generative adversarial networks
P Wu, CA Harris, G Salavasidis, A Lorenzo-Lopez, I Kamarudzaman, ...
Engineering Applications of Artificial Intelligence, 2021
352021
A novel path following approach for autonomous ships based on fast marching method and deep reinforcement learning
S Wang, X Yan, F Ma, P Wu, Y Liu
Ocean Engineering 257, 111495, 2022
202022
A remote anomaly detection system for Slocum underwater gliders
E Anderlini, G Salavasidis, CA Harris, P Wu, A Lorenzo, AB Phillips, ...
Ocean Engineering 236, 109531, 2021
192021
On the design of plug-in hybrid fuel cell and lithium battery propulsion systems for coastal ships
P Wu, RWG Bucknall
Marine Design XIII, Volume 2, 941-951, 2018
142018
Deep learning-based maritime environment segmentation for unmanned surface vehicles using superpixel algorithms
H Xue, X Chen, R Zhang, P Wu, X Li, Y Liu
Journal of Marine Science and Engineering 9 (12), 1329, 2021
122021
Smart anomaly detection for Slocum underwater gliders with a variational autoencoder with long short-term memory networks
Z Bedja-Johnson, P Wu, D Grande, E Anderlini
Applied Ocean Research 120, 103030, 2022
92022
ShipGAN: Generative Adversarial Network based simulation-to-real image translation for ships
Y Dong, P Wu, S Wang, Y Liu
Applied Ocean Research 131, 103456, 2023
62023
An intelligent energy management framework for hybrid-electric propulsion systems using deep reinforcement learning
P Wu, J Partridge, E Anderlini, Y Liu, R Bucknall
arXiv preprint arXiv:2108.00256, 2021
62021
Decarbonising coastal shipping using fuel cells and batteries
P Wu
University College London, 2020
62020
Open-source simulation of underwater gliders
D Grande, L Huang, CA Harris, P Wu, G Thomas, E Anderlini
OCEANS 2021: san diego–porto, 1-8, 2021
52021
The Design of Energy Efficiency Management System for an Electricn Propulsion Passenger Ship in Inland River
Q Yin, M Li, Y Yuan, P Wu, G Liu, R Bucknall
2019 5th International Conference on Transportation Information and Safety …, 2019
32019
Anomaly detection and fault diagnostics for underwater gliders using deep learning
P Wu, CA Harris, G Salavasidis, I Kamarudzaman, AB Phillips, G Thomas, ...
OCEANS 2021: San Diego–Porto, 1-6, 2021
22021
Opportunities and constraints of electrical energy storage systems in ships
LA Farrier, P Wu, R Bucknall
Low Carbon Shipping & Shipping in Changing Climates, 2017
22017
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