Post, September 29, 2026 • (National Institute of Standards and Technology) Automated systems for network protection, outage management, and restoration enable electric utilities to maintain service continuity through network reconfiguration. We evaluate the impact of interoperability investments on distribution system resilience during Hurricane Irma through a reduced form analysis of sustained customer outages. The expected...
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EAGLE-I Power Outage Data 2014-2022
Post, September 29, 2026 • (Oak Ridge National Laboratory) The provided EAGLE-I historic dataset includes eight years of power outage information at the county level from 2014 to 2022 at 15-minute intervals collected by the EAGLE-I program at ORNL. The data has been collected from utility's public outage maps using an ETL process. The dataset...
EAGLE-I Power Outage Data 2025
Post, September 29, 2026 • (Oak Ridge National Laboratory) The provided EAGLE-I historic dataset includes power outage information at the county level for 2025 at 15-minute intervals collected by the EAGLE-I program at ORNL. The data has been collected from utility's public outage maps using an ETL process. The dataset details FIPS code, county name,...
Generator Fleet Characteristics Model
Post, September 29, 2026 • (National Institute of Standards and Technology) This manuscript presents the Generator Fleet Characteristics Model (GFCM), a general purpose tool for the analysis of power system operations, economics, and resilience. The GFCM is a collection of MATLAB functions that use publicly available data with national coverage to produce year-long (8760 hour)...
High fidelity actuator line data from 9 turbine wind farm simulations using ExaWind
Post, September 29, 2026 • (Oak Ridge National Laboratory) This data was generated with the ExaWind code suite (https://github.com/Exawind) to investigate the performance of different Active Wake Mixing turbine control in a wind farm situated in a stable atmospheric boundary layer. All cases correspond to a 3x3 wind farm in a 10km x 10km domain...
HydraGNN_OPF_GFM_2026 – Ensemble of predictive graph foundation models for power grid applications
Post, September 29, 2026 • (Oak Ridge National Laboratory) This dataset supports research on graph foundation models for optimal power flow (OPF) on electric grids using HydraGNN. It contains heterogeneous graph representations of PGLib-OPF cases spanning systems from 14 to 13,659 buses, together with packed HDF5 datasets for pretraining, feasibility classification, and N-1 contingency analysis....