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MHKDR Data Management and Best Practices for Submitters and Curators

Resources for MHKDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the MHKDR. The Data Management and Submission Best Practices document also contains API access and metadata schema information for dev...

Weers, J. et al National Renewable Energy Laboratory

Dec 15, 2021
3 Resources
0 Stars
Publicly accessible

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

Fish Detection AI, Optic and Sonar-trained Object Detection Models

Slater, K. et al Water Power Technology Office

Jun 25, 2014
12 Resources
0 Stars
Curated

TEAMER: Wave and Current Energy Converter Modeling Workshop Materials

This dataset contains the full set of training materials used in a marine hydrokinetic (MHK) modeling workshop conducted by Sandia National Laboratories for the University of Alaska Fairbanks, funded through the U.S. Department of Energy's TEAMER program. The workshop focused on t...

McWilliams, S. et al Sandia National Laboratories

Apr 18, 2025
7 Resources
0 Stars
Curated

Underwater Target Detection Software Demonstration on the RivGen Turbine

This repository contains data and processing scripts necessary to train the object detection models utilized in the underwater target detection software demonstration on the RivGen turbine project and to produce performance metrics (precision, recall, mAP50, mAP50-95). Contents...

Joslin, J. et al MarineSitu

Dec 17, 2024
1 Resources
1 Stars
Publicly accessible

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