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.
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Updated
Jul 18, 2024 - Python
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.
SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd
Physics-guided data-driven solutions for the wind energy industry
Command line tools for creating models of composite wind turbine blades
Windfarm Operations & Maintenance cost-Benefit Analysis Tool
Energinets Powerplant and model testbench. Automate gridcompliance studies in PSCAD and Powerfactory.
☴ Statistics for your wind power projects
The python SDK for @octue services and digital twins.
Offshore Wind Farm Lifecycle Estimation
Airborne Wind Energy Resource Analysis tool (AWERA) is meant to provide wind resource classification/representation and power harvesting estimation for AWES. It builds on wind profile clustering techniques used by Mark Schelbergen (TU Delft).
Python IEA task 43 parsers for NRG SymphoniePRO loggers
Python and Paraview postprocessing tools for use with NREL's SOWFA
How to create a choropleth map, assigning your data of interest based on geographical distribution.
Data influx for Aerosense.
This class converts and joins netcdf files from the Tall Tower database into a csv file
A Python wind farm layout optimization package
Python scripts for transforming specific metocean datasets from text-based to binary formats and checking them for data quality issues
This model is use to assess the suitability of current and future locations for commercial wind farm construction across the Conterminous United States (CONUS). Aggregated datasets have been prepared for all states and the CONUS. Model script: "LR_Equation_Code.py", "CA_Model_Code.py". Model instructions: "Model Description and Instructions.pdf".
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