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TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters

Through this TEAMER project, Michigan Technological University (MTU) collaborated with Oregon State University (OSU) to test the performance of a Deep Reinforcement Learning (DRL) control in the wave tank. Unlike model-based controls, DRL control is model-free and can directly max...
Zou, S. et al Michigan Technological University
Mar 07, 2025
7 Resources
0 Stars
Awaiting curation

Fish Detection AI, sonar image-trained detection, counting, tracking models

The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...
Gutstein, S. et al Water Power Technology Office
Aug 25, 2024
6 Resources
0 Stars
Curated

Ocean Thermal Energy Conversion (OTEC) Datasets

The data presented here were collected from the Ocean Thermal Extractable Energy Visualization (OTEEV) project. The OTEEV project focused on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources. This project explored the feasibili...
Langle, N. et al National Renewable Energy Laboratory
Nov 25, 2014
10 Resources
0 Stars
Curated

Reference Model 5 Full Scale Geometry (RM5: Oscillating Surge Flap)

Contains the Reference Model 5 (RM5) full scale geometry files of the Oscillating Surge Flap, developed by the Reference Model Project (RMP). These full scale geometry files are saved as SolidWorks assembly, IGS, and STEP files, and require a CAD program to view. This data was gen...
Neary, V. et al Sandia National Laboratories
Sep 30, 2014
5 Resources
0 Stars
Publicly accessible