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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
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6 Resources
0 Stars
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Fish Detection AI, Optic and Sonar-trained Object Detection 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 ...
Slater, K. et al Water Power Technology Office
Jun 25, 2014
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
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Programs and Code for Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Moraga, J. Colorado School of Mines
Apr 27, 2021
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
12 Resources
0 Stars
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12 Resources
0 Stars
Publicly accessible
Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...
Williams, J. et al Global Technology Connection, Inc.
Jan 21, 2025
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Brady Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
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Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
0 Stars
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3 Resources
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
0 Stars
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3 Resources
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Underwater Videos of the Oscylator-4 Installation and Operation from 2016
This data set contains video recorded from the under water camera on the Oscylator-4. The device was installed in the St. Clair River in Port Huron MI in 2016.
Taipale, J. Vortex Hydro Energy
Apr 11, 2017
3 Resources
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Publicly accessible
3 Resources
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Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model:
brady_som_output.gri, brady_som_output.grd, brady_som_output.*
desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Moraga, J. et al Colorado School of Mines
Sep 01, 2020
16 Resources
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16 Resources
0 Stars
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Pacific Marine Energy Center benthic physical conditions, macrofauna, and groundfish abundances
From 2010 to 2015, box core grabs were collected at permanent stations around the Pacific Marine Energy Center North Energy Test Site (PMEC-NETS) off Newport, Oregon. At each box core station a conductivity, temperature, depth (CTD) cast was conducted. These data include the CTD f...
Henkel, S. Oregon State University
Aug 26, 2015
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
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Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...
Ramos, D. et al National Renewable Energy Laboratory
Feb 12, 2021
5 Resources
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5 Resources
0 Stars
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Oscylator-4 Energy Converter St. Clair River Installation Data 2016
Data collected during the 2016 St. Clair River installation of the Oscylator-4 energy converter.
Taipale, J. and Kim, E. Vortex Hydro Energy
Jul 20, 2016
30 Resources
0 Stars
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30 Resources
0 Stars
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Transportation Secure Data Center
The Transportation Secure Data Center (TSDC) provides free access to detailed transportation data from a variety of travel surveys and studies conducted across the nation. Data include global positioning system (GPS) readings for millions of miles of travel, along with vehicle cha...
Fish, J. et al National Renewable Energy Laboratory (NREL)
Nov 01, 2015
3 Resources
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3 Resources
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Current Energy Harnessing using Synergistic Kinematics of Schools of Fish-Shaped Bodies: Marine Hydrodynamics Laboratory Tank Testing Data
The objectives of the proposed work pertain to building a high power-density and high efficiency device to harness MHK energy by mimicking fish-school kinematics. Vortex Hydro Energy is collaborating with a concept formed and undergone preliminary testing at the University of Mich...
Bernitsas, M. Vortex Hydro Energy
Apr 11, 2017
20 Resources
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20 Resources
0 Stars
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Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms
This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop u...
Lin, G. and Mitchell, R. Lawrence Berkeley National Laboratory
Feb 26, 2019
2 Resources
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2 Resources
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Utah FORGE: Well 16A(78)-32 2022 Stimulation Microseismic Report
This is a Utah FORGE well 16A(78)-32 stimulation microseismic detection and event location report from Silixa LLC. The report covers the digital acoustic sensing (DAS) data acquisition and analysis used to study microseismic events during the April, 2022 stimulations at well 16A(7...
LLC, S. Energy and Geoscience Institute at the University of Utah
Sep 26, 2022
1 Resources
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1 Resources
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Triton Field Trials Changes in Habitat 360-degree Underwater Videos
This dataset contains the underwater 360-degree video files recorded with a Boxfish 360 camera in La Jolla, CA, near a gravity base anchor of the CalWave xWave wave energy converter in December 2021 over three days, at dawn, noon, and dusk. It was generated to test the ability of ...
Hemery, L. et al Pacific Northwest National Laboratory
Nov 30, 2021
10 Resources
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10 Resources
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Next Generation RivGen Power System: Feasibility Assessment of Hydroacoutics Data for Development of a Probability of Encounter Model of Salmon Smolts
This document contains a feasibility assessment for salmon smolt characterization and analysis based on existing hydroacoustics data and probability of encounter model.
Daroux, A. and Zydlewski, G. Igiugig Village Council
Oct 04, 2017
1 Resources
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1 Resources
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Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. The analysis was performed using ENVI's Target Detection process against USGS library spectra for Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite...
Moraga, J. Colorado School of Mines
Oct 01, 2021
4 Resources
0 Stars
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4 Resources
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Improved Microseismicity Detection During Newberry EGS Stimulations
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Templeton, D. Lawrence Livermore National Laboratory
Nov 01, 2013
1 Resources
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1 Resources
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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
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1 Resources
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Advanced TidGen Power System Environmental Assessment
The TidGen Power System generates emission-free electricity from tidal currents and connects directly into existing grids using smart grid technology. The power system consists of three major subsystems: shore-side power electronics, mooring system, and turbine generator unit (TGU...
Marnagh, C. et al Ocean Renewable Power Company
Jun 14, 2018
1 Resources
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1 Resources
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