There are 5 repositories under wind-energy topic.
Actuator line modeling extension library for OpenFOAM.
list of papers, code, and other resources
A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.
Wind Turbine Object Detection from Aerial Imagery Using TensorFlow Object Detection API and Google Colab
Data Science in Wind Resource Assessment Tutorial at PyData San Diego, March 2020
Physics-guided data-driven solutions for the wind energy industry
Energinets Model Testbench. Automate gridcompliance studies in PSCAD and Powerfactory.
Open source live power market data for Great Britain
☴ Statistics for your wind power projects
The python SDK for @Octue services and digital twins.
Controllers for airborne wind energy systems
Wind Energy Harvesting with Reinforcement Learning :airplane:
Modular framework allowing to scan a numerical wind field with a virtual lidar and create constrained turbulent wind fields for wind turbine simulations
A Design Platform Powered by AI
Wind Energy : A Practical Power Analysis Approach - Open Sourced Code for the Research Paper published in IEEE.
Probabilistic Wind Power Forecasting with R
Repository for various utilities for Nalu wind-specific simulations.
Python and Paraview postprocessing tools for use with NREL's SOWFA
Python IEA task 43 parsers for NRG SymphoniePRO loggers
Data influx for Aerosense.
Forecasts of the power market prices before the day-ahead market closure time are prone to significant error. I predict whether the day ahead or balancing (standard marginal price price will be higher at a given hour next day. It creates decisive forecasts for reducing the balancing cost.
How to create a choropleth map, assigning your data of interest based on geographical distribution.
QHAST2 is the upgraded version of OpenHastV6, significantly enhancing the simulation speed of floating offshore wind turbines! It introduces new features, supporting linear and co-rotational nonlinear finite element calculation methods for framework structures. QHAST2 implements efficient and high-precision simulation calculation methods for flexib
Links to lidar data samples with known provenance