Post, September 29, 2026 • (National Laboratory of the Rockies) Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021. For ERCOT...
Microgrid & Wildfire-Related Data
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CERTS Microgrid Test Bed Demonstration Data
Post, September 29, 2026 • (Lawrence Berkeley National Laboratory, University of Wisconsin, Advanced Microgrid Systems, American Electric Power, Sandia National Laboratories, Ohio State University) The objective of the CERTS Microgrid Test Bed Demonstration, which was hosted by American Electric Power, was to enhance the ease of integrating small energy sources into a microgrid. The project...
Dynamic Temporal Graph Sequence Data for Resilience-Oriented Distribution Network Reconfiguration
Post, September 29, 2026 • (Oak Ridge National Laboratory) This dataset comprises temporal dynamic graph sequences generated from power grid simulations focused on grid reconfiguration to enhance resilience. The simulations model failure propagation under varying conditions, with nodes assigned distinct failure probabilities. For each time step, the dataset captures the evolution of node states (functional...
Spatial datasets of probabilistic wildfire risk components for the United States (270m) (3rd Edition)
Post, September 29, 2026 • (U.S. Department of Agriculture Forest Service) National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire Simulation (FSim) system developed by the USDA Forest Service Missoula Fire Sciences Laboratory. The FSim system includes modules...
Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States (2nd Edition)
Post, September 29, 2026 • (U.S. Department of Agriculture Forest Service) The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across the landscape); and 2) represent in situ risk - risk at the...