Code and supplementary material complementing the WES-publication: "Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models""

list of open data wind turbine data sets

A visualization tool for reslicing MRI and CT images along a deep brain stimulation lead.

Shortest times between train stations in Europe

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…

ruptures: change point detection in Python

Power Monitor (for Raspberry Pi)

An interactive visualization of neural networks

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Latest version of Docear re-packaged with old java library to work on Linux without additional configurations.

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Code for high-voltage grid mapping project with the World Bank; early 2018

Wind Turbine Object Detection from Aerial Imagery Using TensorFlow Object Detection API and Google Colab

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

⚡ A Fast, Extensible Progress Bar for Python and CLI

Deep Learning for Time Series Classification

ENTR Alliance is an owner-operator led initiative to create open data stack within the clean energy sector. ENTR is a distribution of existing open-source tools, frameworks, and standards, packaged…

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 …