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Photovoltaic Data Acquisition (PVDAQ) Public Datasets
The NREL PVDAQ is a large-scale time-series database containing system metadata and performance data from a variety of experimental PV sites and commercial public PV sites. The datasets are used to perform on-going performance and degradation analysis. Some of the sets can exhibit...
Deline, C. et al NREL
Dec 21, 2021
8 Resources
1 Stars
Curated
8 Resources
1 Stars
Curated
AlphaBuilding Synthetic Buildings Operation Dataset
This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with...
Li, H. et al Lawrence Berkeley National Laboratory
Dec 21, 2020
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
PV Rooftop Database for Puerto Rico (PVRDB-PR)
The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded a...
Mooney, M. and Waechter, K. National Renewable Energy Laboratory (NREL)
Dec 16, 2020
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
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
Curated
5 Resources
0 Stars
Curated
BUTTER Empirical Deep Learning Dataset
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
Distributed Generation Market Demand (dGen) model
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...
Stanley, T. et al National Renewable Energy Laboratory (NREL)
Oct 16, 2020
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
SWERA: Solar and Wind Energy Resource Assessment
The Solar and Wind Energy Resource Assessment (SWERA) Programme was a collaboration of worldwide partners with a mission to provide information on renewable energy resources for countries and regions around the world. Funding and support for the SWERA Programme concluded in 2011, ...
Langle, N. National Renewable Energy Laboratory
Dec 21, 2017
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation