windml
by cigroup-ol
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction
AI summary
Wind Data Tool
A Python package providing an easy-to-use interface to wind data sources for renewable energy forecasting and prediction
- stars
- 130
- forks
- 43
- watching
- 17
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Wind analysis library
A comprehensive Python library for analyzing wind energy and its associated costs.
Wind Turbine Toolbox
Tools and algorithms for wind turbine analyses, including structural, hydrodynamic, aerodynamic, and control systems
Wind power modeling library
A library to model and calculate the output of wind turbines and farms
Wind Energy Tools
Provides R implementation of data science methods for wind energy applications
Wind analyzer
A Python library for analyzing wind data and exporting adjusted results in a format usable by other wind analysis software.
Wind simulator
A tool for simulating and optimizing wind farm performance
Windrose
A Python library to manage wind data and create visualizations of wind speed and direction distributions.
nrel/openoa195
Wind analysis tool
Provides an open source framework for analyzing wind plant performance using operational assessment methodologies
forecasting tool
A package designed to automate machine learning pipelines for short-term energy forecasting using Python.
Renewable Energy Simulator
Generates high-resolution potential maps and time series for renewable energy sources
Energy calculator
Calculates energy efficiency and fuel switching scenarios for the U.S. industrial sector energy use and emissions
Wind visualization
Visualizes wind power using WebGL particles
Climate forecasting framework
A framework for training and evaluating physics-informed neural ODEs for climate and weather forecasting
arm-doe/act152
Atmospheric data analysis software
A comprehensive toolkit for working with atmospheric time-series datasets
Data access tool
Provides an interface to weather and climate data for scientific analysis in Python
Featured in 1 awesome list
Each link jumps to the spot where the list mentions windml.
