Welcome to XAI4WindPowerCurves. We think of explainable artificial intelligence (XAI) as crucial for an informed application of machine learning methods in practice. Here, we soon present implementations of the methods presented in our paper "An XAI framework for robust and transparent data-driven wind turbine power curve models", which was published in Energy & AI. Star us for automated updates on the matter.
to be added.
@article{Letzgus_XAI4WPC_2024,
title = {An explainable AI framework for robust and transparent data-driven wind turbine power curve models},
journal = {Energy and AI},
volume = {15},
pages = {100328},
year = {2024},
issn = {2666-5468},
doi = {https://doi.org/10.1016/j.egyai.2023.100328},
url = {https://www.sciencedirect.com/science/article/pii/S2666546823001003},
author = {Simon Letzgus and Klaus-Robert Müller}
}
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