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By applying techniques from explainable artificial intelligence, engineers can improve users’ confidence in forecasts generated by artificial intelligence models. This approach was recently tested on wind power generation by a team that includes experts from EPFL.

By applying techniques from explainable artificial intelligence, engineers can improve users’ confidence in forecasts generated by artificial intelligence models. This approach was recently tested on wind power generation by a team that includes experts from EPFL. The researchers and study's co-authors Wenlong Liao and Fernando Porté-Agel.

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Themes
Research and Tech Transfer , ENAC, Environment, Research and Tech Transfer, Energy
Copyright
EPFL/Alain Herzog
Licence
CC0 Licence
Shooting date
Jan. 29, 2025
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New study improves the trustworthiness of wind power forecasts

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