Stars
Excell addin for performing Monte Carlo simulation
A Python project template with opinionated tooling
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information fo…
Extreme value analysis (EVA) is a crucial tool for comprehending and anticipating extreme events, such as exceptionally heavy rainfall or severe wind gusts. This guide, inspired by royalosyin's rep…
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
MILES Community Research Digital Intelligence Twin (CREDIT): research platform for AI numerical weather prediction models.
Some tutorials on working with python and wind data
A curated list of open wind turbine data sets and corresponding code
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
Matlab/Simulink model of a megawatt-class airborne wind energy system based on rigid wing technology.
Hybrid ML + physics model of the Earth's atmosphere
this repo contains the machine readable data formats and documentation that support the IEC 61400-15-1 site suitability conditions input form
A light weight, fast, easy to understand & carefully crafted implementation of the Ainslie eddy viscosity wake model and associated sub-models
entralliance / OpenOA
Forked from NREL/OpenOAThis library provides a framework for working with large timeseries data from wind plants, such as SCADA. Its development has been motivated by the WP3 Benchmarking (PRUF) project, which aims to pr…
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Method for estimating icing losses from wind turbine SCADA data
Statistical package in Python based on Pandas
R-Shiny tool to explore locations, metadata and download monthly energy production from Utility Scale Power Plants.
A small toolbox of wind data analysis plotting tools
Avatars for Zoom, Skype and other video-conferencing apps.
High-quality implementations of standard and SOTA methods on a variety of tasks.
Distribution Analyser is a Web App that allows you to interactively explore continuous distributions from SciPy and fit distribution(s) to your data.
This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to …