Stars
NREL FASTv8, with MATLAB GUI and Simulink integration
mayankchetan / floris
Forked from NREL/florisA controls-oriented engineering wake model. Documentation at
mayankchetan / matlab-toolbox
Forked from OpenFAST/matlab-toolboxCollection of Matlab tools developed for use with OpenFAST
mayankchetan / wakebench_swift
Forked from NREL/wakebench_swift15MW reference wind turbine repository developed in conjunction with IEA Wind
mayankchetan / openfast
Forked from OpenFAST/openfastMain repository for the NREL-supported OpenFAST whole-turbine simulation code. Documentation is avaiable at http://openfast.readthedocs.io
This is a set of scripts used to compute the reliability of a structured problem based on the uncertainty of the inputs.
University of Tokyo and WavEC-Offshore Renewables open-source experimental and numerical work on Floating Offshore Wind Turbine
15MW reference wind turbine repository developed in conjunction with IEA Wind
xcompact3d / WInc3D
Forked from ImperialCollegeLondon/WInc3DWind Farm Simulator. No longer supported as it has been merged with Incompact3d
Current CPU version of our solver for the Navier-Stokes equations
Repository for Parallel Python @ ASPP 2019
Data Science in Wind Resource Assessment Tutorial at PyData San Diego, March 2020
Getting started with the wind turbine simulation software NREL FAST
Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.
Examples of how to use machine learning algorithms in computational fluid dynamics.
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
A deep learning library for video understanding research.
A list of papers relating Computational Physics and Machine Learning
This repository contains code for LSTM based nudging scheme for data assimilation of geophysical flows.
All Algorithms implemented in Python
Practice your pandas skills!
A library for scientific machine learning and physics-informed learning
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
Diurnal Cycles Benchmark: a large domain in complex terrain