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- physics-guided neural networks (phygnn)
- The 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-resolution inputs.
ninterp
PublicNumerical interpolation in N-dimensions over a regular, sorted, nonrepeating gridComStock
Publicfastsim
PublicEnergyPlus
PublicOpenStudio-ERI
Publicsustainability.gov
PublicREopt_API
PublicThe model for the REopt API, which is used as the back-end for the REopt Webtool (reopt.nrel.gov/tool), and can be accessed directly via the NREL Developer Network (https://developer.nrel.gov/docs/energy-optimization/reopt)ROSCO
Publicopenstudio-standards
Publicroutee-powertrain
PublicREopt.jl
Publicdw-tap-api
PublicHOPP
PublicMulti-Tube-OD-Reader
PublicHardware & App for Multi-Tube OD Readeropenstudio-ee-gem
PublicGEOPHIRES-X
PublicNEB-Tool
Publicaltrios
PublicSAM
PublicSitingLab
PublicThis repository contains a collection of user-friendly tutorials and guides for working with the Siting Lab data within the context of the reV model. The python code examples demonstrate the creation and transformation of Siting Lab data into reV compliant format as well as working with the reV model inputs and outputs.