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PNNL Distribution System State Estimator Docker Image

This is the docker image for Pacific Northwest National Laboratory's (PNNL) distribution system state estimator (DSSE) used for the demo of OEDI-SI platform. To support the operation of modern distribution systems, operators require real-time visibility into system states. Due to ...

Bhatti, B. et al Pacific Northwest National Laboratory

Jul 10, 2023
6 Resources
2 Stars
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Linearized Distribution Optimal Power Flow for OEDI SI

This research is to meant to demonstrate the OEDI SI use case for distributed optimal power flow (DOPF). The goal was to formulate the optimal power flow problem in the distribution system for active and reactive power setpoints of PV systems using topology information and voltage...

Sadnan, R. et al Pacific Northwest National Laboratory

Oct 03, 2023
2 Resources
0 Stars
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SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS

The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the data...

Palmintier, B. et al National Renewable Energy Laboratory (NREL)

Dec 18, 2020
5 Resources
1 Stars
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G2Aero Database of Airfoils Curated Airfoils

This dataset contains a curated set of 19,164 airfoil shapes from various applications and the data-driven design space of separable shape tensors (PGA space), which can be used as a parameter space for machine-learning applications focused on airfoil shapes. We constructed the a...

Doronina, O. et al National Renewable Energy Lab NREL

Sep 24, 2024
3 Resources
0 Stars
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Wind Speed Dataset with Observation And Copula-based Bias Correction and Multi-Model Fusion at 23 U.S. Locations

This dataset provides two related products of bias-corrected hourly wind speed at 23 U.S. sites spanning coastal, inland, mountainous, and plains regions, designed for energy applications and wind-related research. Physics-based models carry systematic biases relative to observati...

Zhang, W. et al National Laboratory of the Rockies (NLR)

Jun 15, 2026
4 Resources
0 Stars
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...

Beckers, K. et al National Renewable Energy Laboratory

Oct 20, 2021
6 Resources
0 Stars
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Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...

Zhang, X. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2021
3 Resources
0 Stars
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Distributed Generation Market Demand (dGen) model

The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...

Stanley, T. et al National Renewable Energy Laboratory (NREL)

Oct 16, 2020
4 Resources
1 Stars
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QuakeCastNet: Source Code for Forecasting of Injection-Induced Seismicity

This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission. Fluid ...

Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory

Sep 20, 2026
2 Resources
0 Stars
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BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

The BuildingsBench datasets consist of: Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock. 7 real residential and com...

Emami, P. and Graf, P. National Renewable Energy Laboratory

Dec 31, 2018
6 Resources
1 Stars
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Hourly Dynamic Line Ratings for Existing Transmission Across the Contiguous United States (Preliminary)

This dataset provides estimated hourly dynamic line ratings for ~84,000 transmission lines across the contiguous United States from 2007-2013. The calculation methods are described in the presentation linked below, and the associated open-source Python code repository is linked in...

Obika, K. et al National Renewable Energy Laboratory

Sep 25, 2024
16 Resources
0 Stars
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Utah FORGE: Fluid Injection-Rate Controls on Seismic Moment from Laboratory Fault Reactivation Experiments

This dataset contains experimental and acoustic data from shear reactivation tests that investigate the relationship between fluid-injection rate, pore pressure distribution, and seismic moment during laboratory fault slip. It includes raw mechanical data and acoustic emission rec...

Elsworth, D. et al Pennsylvania State University

Sep 16, 2025
31 Resources
0 Stars
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PV Module Standoff and T98 Safety Maps for the United States (IEC 61730, 70 & 80 Celsius)

This dataset provides high-resolution maps of modeled photovoltaic (PV) module standoff distance and associated thermal conditions across the United States for two thermal design scenarios (T98 = 70 degrees C and 80 degrees C), representing distinct module temperature limits used ...

Springer, M. et al National Laboratory of the Rockies (NLR)

Apr 13, 2026
3 Resources
0 Stars
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Utah FORGE: Phase Native State FALCON Model Files

The submission includes FALCON input file and mesh for the an initial pressure-temperature simulation, and a second set for pressure-temperature-displacement simulation. All simulations are steady state. Data and input for the FORGE Phase 2 native state model were compiled from hi...

Podgorney, R. Idaho National Laboratory

Jun 06, 2019
2 Resources
0 Stars
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1D Heat Loss Models Validation Experiment

Contains data from the model validation in the 1D Heat Loss Models to Predict the Aquifer Temperature Profile during Hot/Cold Water Injection Project. The data include two COMSOL models (2D axisymmetric benchmark model and 2D Vinsome model), one python code (1D Vinsome based FEM n...

Chen, K. et al UC Berkeley

Jan 18, 2022
8 Resources
0 Stars
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Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind)

The Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind) data is a collection of high-resolution historical wind, temperature, humidity, and pressure fields. Sup3rWind data is produced by downscaling ECMWF Reanalysis Version 5 data (ERA5) to 2-...

Benton, B. et al National Renewable Energy Lab (NREL)

Mar 11, 2024
7 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
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...

Jin, W. et al Idaho National Laboratory

Apr 15, 2022
4 Resources
0 Stars
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Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)

Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes model...

Buster, G. et al National Renewable Energy Lab (NREL)

Oct 16, 2024
4 Resources
0 Stars
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PacWave Site Observations

The PacWave Site Observations submission contains raw and near-real-time meteorological and oceanic measurements at the PacWave wave energy test site. PacWave is an open-ocean testing facility operated by Oregon State University, located off the coast of Newport, Oregon. The test ...

Hembrough, B. et al Oregon State University

Jan 01, 2020
4 Resources
0 Stars
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Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...

Buster, G. et al National Renewable Energy Laboratory (NREL)

Apr 19, 2023
7 Resources
2 Stars
Publicly accessible

MBARI WEC 2021 deployment

This dataset includes data from the Monterey Bay Aquarium Research Institute (MBARI) wave energy converter (WEC) and a nearby located Sofar Spotter buoy. The Monterey Bay Aquarium Research Institute has developed and deployed a small two-body point absorber wave energy device suit...

Coe, R. et al Sandia National Laboratories

Oct 12, 2021
4 Resources
0 Stars
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Guam Meteorology, Energy, and Transmission (MET) Toolkit

The Guam Meteorology, Energy, and Transmission (MET) Toolkit is the National Laboratory of the Rockies' (NLR) high-fidelity atmospheric dataset purpose-built to support long-term power system planning and operations across the Guam Islands. This product delivers a unified, geometr...

Bodini, N. National Laboratory of the Rockies (NLR)

Sep 25, 2026
4 Resources
0 Stars
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Hawaii Meteorology, Energy, and Transmission (MET) Toolkit

The Hawaii Meteorology, Energy, and Transmission (MET) Toolkit is the National Laboratory of the Rockies' (NLR) high-fidelity atmospheric dataset purpose-built to support long-term power system planning and operations across the Hawaiian Islands. Serving as the successor to the le...