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- The 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)
- mlclouds is a machine learning approach to predicting missing cloud properties in the National Solar Radiation Database (NSRDB).
pysam
Publicflasc
PublicOCHRE
PublicA Python-based building energy modeling (BEM) tool designed to model flexible loads in residential buildingsreV-tutorial
Public- Building Metadata OnTology Interoperability Framework (BuildingMOTIF). For models, see https://models.open223.info/
elm
PublicELM is a collection of utilities to apply Large Language Models (LLMs) to energy research.GEOPHIRES-X
Public- The Foundational Industry Energy Dataset (FIED) is a unit-level characterization of energy use in the U.S. industrial sector.
nrel_bootstrap
PublicNREL.gov APP branded theme for Bootstrap 3 - based on nrel-app-template - https://github.com/NREL/nrel-app-template- NSRDB data processing pipeline. Includes satellite data assimilation, cloud property prediction and gap-filling, radiative transport modeling, and data collection.
- 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.