Popular GitHub Repositories for Wind

A crossplatform GUI to plot tabulated data from files (e.g. CSV, Excel, OpenFAST, HAWC2, Flex...), or python pandas dataframes

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.

Machine learning applied to wind turbines incipient fault detection.

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.

LSTM to predict wind speed

Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneously produce probabilistic forecasts for UK wind, solar, demand and price forecasts.

Wind Power Forecasting using Machine Learning techniques.

A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image

Predicting Energy Output of Wind Turbine

Code for paper "Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders."

Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".

A project focused on forecasting solar photovoltaic (PV) power generation using regional microclimate data. Implements machine learning models like CatBoost, LightGBM, and XGBoost for predictions, leveraging environmental features like temperature, humidity, wind speed, and solar radiation.

A framework for stabilizing a floating offshore wind turbine using Reinforcement Learning and a Predictive Safety Filter.

Official Implementation of Integrating Physics-Informed Vectors for Improved Wind Speed Forecasting with Neural Networks

Machine Learning Software for Estimating Average Wind Speed ??as a result of Air Pressure and Temperature Measurement (Unsupervised Learning - Cluster Method)

Artificial neural networks model on matlab to predict wind speed. Data on wind speed, humidity, temperature and wind direction was obtained from Bagalkot wind farm, Karnataka, India, in the year 2014.

Fully automatic Common Carotid Artery ultrasound image segmentation using Wind Driven Optimization technique

? This repository contains the source code and additional resources for the paper "Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models". The paper discusses the challenges of solar wind forecasting and the application of Physics-Informed Neural Networks (PiNNs) to improve prediction accuracy and computational efficiency.

THIS WEB_APP ALLOWS USER TO PREDICT THE AIR QUALITY INDEX BASED ON FEATURES LIKE TEMPERATURE, WIND VELOCITY, ATMOSPHERIC PRESSURE