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Wind Integration National Dataset (WIND) Toolkit
Wind resource data for North America was produced using the Weather Research and Forecasting Model (WRF). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km. Thre...
Maclaurin, G. et al National Renewable Energy Laboratory
Sep 26, 2014
6 Resources
2 Stars
Publicly accessible
6 Resources
2 Stars
Publicly accessible
North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy
The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D01)
**Overview**
The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 19, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D02)
**Overview**
The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 19, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D01)
**Overview**
The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 15, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D02)
**Overview**
The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 15, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Dynamically Downscaled Hourly Future Weather Data with 12-km Resolution Covering Most of North America
This is an hourly future weather dataset for energy modeling applications. The dataset is primarily based on the output of a regional climate model (RCM), i.e., the Weather Research and Forecasting (WRF) model version 3.3.1. The WRF simulations are driven by the output of a genera...
Zeng, Z. et al Argonne National Laboratory
Oct 03, 2023
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
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
Publicly accessible
4 Resources
0 Stars
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NREL RSF Weather Data 2011
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
Publicly accessible
2 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...
Bodini, N. National Laboratory of the Rockies (NLR)
May 11, 2026
4 Resources
0 Stars
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4 Resources
0 Stars
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WIND Toolkit Long-Term Ensemble Dataset
WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indica...
Wang, J. et al National Renewable Energy Laboratory (NREL)
Jan 24, 2024
7 Resources
1 Stars
Publicly accessible
7 Resources
1 Stars
Publicly accessible
Utah FORGE 6-3656: Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting 2026 Workshop Presentation
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Dr. Nori Nakata. The ...
Nakata, N. et al Lawrence Berkeley National Laboratory
Sep 30, 2026
3 Resources
0 Stars
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3 Resources
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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
Publicly accessible
6 Resources
1 Stars
Publicly accessible
Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2026 Workshop Presentation
This is a presentation on Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics (Global Technology Connection), presented by Dr. Jesse Williams. The project is developing machine-learning and physics-informed models to impro...
Williams, J. GTC Analytics
Sep 30, 2026
3 Resources
0 Stars
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3 Resources
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Northwest National Marine Renewable Energy Center, OR Final Technical Report & Appendices
In 2008, the US Department of Energy (DOE) Wind and Water Power Program issued a funding opportunity announcement to establish university-led National Marine Renewable Energy Centers. Oregon State University and the University of Washington combined their capabilities in wave and ...
Hellin, D. Northwest National Marine Renewable Energy Center
Jun 30, 2016
2 Resources
0 Stars
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2 Resources
0 Stars
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Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction 2025 Workshop Presentation
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Nori Nakata. This vid...
Nakata, N. Lawrence Berkeley National Laboratory
Sep 18, 2025
3 Resources
0 Stars
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3 Resources
0 Stars
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Modeled Utility-Scale Solar and Storage Operations 2020-2025
In this project, we model optimized hourly dispatch under energy, capacity, and ancillary-service market opportunities using a linear optimizer with perfect price and generation foresight and are sharing the hourly solar and storage generation profiles for our sample here using th...
Seel, J. et al Lawrence Berkeley National Lab
Oct 13, 2026
4 Resources
0 Stars
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4 Resources
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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
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2 Resources
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Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Mar 25, 2016
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
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Sup3rLoad Dataset
Sup3rLoad is a dataset of hourly electricity load for the contiguous United States that varies jointly with electrification and weather. It spans 2 electrification scenarios, 5 CMIP6 Earth system models (Sup3rCC, SSP2-4.5), 6 scenario years between 2025 and 2050, 60 weather years ...
Jones, R. et al Evolved Energy Research
Dec 06, 2025
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
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NREL RSF Energy Model 2011
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Modeled Utility-Scale Solar+Storage Operations 2020-2024
In this project, we model optimized hourly dispatch under energy, capacity, and ancillary-service market opportunities using a linear optimizer with perfect price and generation foresight and are sharing the hourly solar and storage generation profiles for our sample here using th...
Seel, J. et al Lawrence Berkeley National Lab
May 12, 2026
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
NREL RSF Measured Data 2011
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
WIND-Bench: A Benchmark Dataset for In-Situ Near-Surface Wind Speed Across the Conterminous United States
Accurate wind forecasts are essential for operational decision-making and public safety, yet forecasts tend to miss near-surface high wind speeds in complex terrain. In response, recent advances in machine learning (ML) weather prediction methods have demonstrated the ability to i...
Bazlen, K. et al National Laboratory of the Rockies (NLR)
Jul 16, 2026
5 Resources
0 Stars
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5 Resources
0 Stars
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