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OPFLearnData: Dataset for Learning AC Optimal Power Flow
The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to t...
Joswig-Jones, T. et al National Renewable Energy Laboratory
Oct 26, 2021
12 Resources
0 Stars
Publicly accessible
12 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
Publicly accessible
5 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
Publicly accessible
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
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Alaska Meteorology, Energy, and Transmission (MET) Toolkit
The Alaska MET (Meteorology, Energy, and Transmission) Toolkit is the National Laboratory of the Rockies' (NLR) new flagship atmospheric dataset, designed to support comprehensive long-term planning and operations across the entire power sector. Serving as the regional counterpart...
Buster, G. and Turner, D. National Laboratory of the Rockies (NLR)
Jun 30, 2026
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
HRRR Meteorology, Energy, and Transmission (MET) Toolkit
The HRRR MET (Meteorology, Energy, and Transmission) Toolkit is the National Laboratory of the Rockies' (NLR) new flagship atmospheric dataset, designed to support comprehensive long-term planning and operations across the entire power sector. Serving as the direct successor to th...
Bodini, N. et al National Laboratory of the Rockies (NLR)
Mar 09, 2026
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
U.S. High-Voltage Transmission Siting Regulation and Zoning Ordinances (2026)
This collection includes documented state and local ordinances governing high-voltage transmission lines across the United States. The data were compiled using the Infrastructure Continuous Ordinance Mapping for Planning and Siting Systems (INFRA-COMPASS) tool, which leverages Lar...
Castelao, G. et al National Laboratory of the Rockies
Sep 29, 2026
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
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
Publicly accessible
16 Resources
0 Stars
Publicly accessible
ARPA-E Grid Optimization (GO) Competition Challenge 2
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
Publicly accessible
29 Resources
0 Stars
Publicly accessible