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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
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Demand-Side Grid (dsgrid) Building Load Profiles using ResStock and ComStock v2021
This dataset contains simulated hourly end use load profiles of the residential and commercial building sector in the contiguous United States for every other year from 2010 to 2050. Data were produced in 2021 using ResStock? and ComStock?, which are building stock energy models o...
Liu, L. et al National Renewable Energy Lab (NREL)
Apr 12, 2021
6 Resources
0 Stars
Awaiting curation
6 Resources
0 Stars
Awaiting curation