sltzgs

KernelCPD_WindSCADA

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

OpenOA

This 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 provide a reference implementation for plant-level performance assessment.

PhaseSlopeIndex.jl

Phase Slope Index method based on Nolte et al. 2008

Quantus

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

Wind_Turbine_SCADA_open_data

list of open data wind turbine data sets

xai-regression

xai4powercurvemodels

XAI4WindPowerCurves

zennit

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

Quantus

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

sltzgs/Wind_Turbine_SCADA_open_data

list of open data wind turbine data sets

sltzgs/xai-regression

sltzgs/KernelCPD_WindSCADA

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

sltzgs/XAI4WindPowerCurves

sltzgs/OpenOA

This 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 provide a reference implementation for plant-level performance assessment.

sltzgs/PhaseSlopeIndex.jl

Phase Slope Index method based on Nolte et al. 2008

sltzgs/Quantus

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

sltzgs/xai4powercurvemodels

sltzgs/zennit

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