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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 The National Renewable Energy Lab (NREL)
Apr 19, 2023
7 Resources
1 Stars
Curated
7 Resources
1 Stars
Curated
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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Curated
6 Resources
2 Stars
Curated
Combined Heat and Power Installation Database
The Combined Heat & Power (CHP) Installation Database contains information about all the known CHP installations across the country. This data is compiled through a variety of sources and is the only known data set of its kind. DOE, in partnership with the Oak Ridge National Labor...
Hampson, A. and Laboratory, O. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
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
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
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
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Bouira University Digital Space
Description archive of our university and/or Remarks:
The University of Bouira offers visitors from Bouira University Digital Space a free downloadable files (memories doctoral, master, master, courses in different technological and literary disciplines, proceedings of scientif...
Chettabi, . National Renewable Energy Laboratory
Jan 08, 2000
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
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
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Bias Corrected HRRR Wind Resource Data for Grid Integration Applications
Many weather years of high-quality wind data are widely accepted in the grid integration community to be important for studying wind energy technical potential, energy system operations, and grid resilience.
NREL makes high-quality wind and solar resource data available. NREL's G...
Pinchuk, P. et al The National Renewable Energy Lab (NREL)
Oct 15, 2024
4 Resources
0 Stars
In progress
4 Resources
0 Stars
In progress
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
Curated
16 Resources
0 Stars
Curated
County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly ...
Cole, W. et al National Renewable Energy Laboratory (NREL)
Aug 01, 2023
5 Resources
1 Stars
Publicly accessible
5 Resources
1 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
Curated
29 Resources
0 Stars
Curated
ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
Curated
39 Resources
1 Stars
Curated
ARPA-E Grid Optimization (GO) Competition Challenge 3 update
adding data for Events 1-3 that were deleted.
Elbert, S. Pacific Northwest National Laboratory
May 29, 2024
19 Resources
0 Stars
In progress
19 Resources
0 Stars
In progress
ARPA-E Grid Optimization (GO) Competition Challenge 1
The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...
Elbert, S. et al Pacific Northwest National Laboratory
Aug 05, 2024
29 Resources
0 Stars
Curated
29 Resources
0 Stars
Curated