Senior Software Engineer at the National Renewable Energy Lab. Physics PhD with specialization in Climate Modeling. Interested in machine learning applications to climate and weather modeling to help renewable energy adoption.
Data science/research on renewable energy modeling at NREL. Cornell Physics PhD.
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The National Renewable Energy Lab
- Seattle, WA
- https://bnb32.github.io/
- https://github.nrel.gov/bbenton
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NREL/sup3r
NREL/sup3r PublicThe Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolut…
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NREL/nsrdb
NREL/nsrdb PublicThis repository contains all of the methods for the NSRDB data processing pipeline.
Python 6
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modbot
modbot PublicThis moderation bot software uses scikit-learn binary classification algorithms or pytorch neural networks to learn what phrases to allow in twitch chat. Labeled training data is constructed from c…
Python
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RL-equation-solver
RL-equation-solver PublicReinforcement learning based equation solver using various neural networks implemented in PyTorch
Jupyter Notebook 1
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