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New study improves the trustworthiness of wind power forecasts
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. Explainable artificial intelligence (XAI) is a branch of AI that helps users to peek inside the black-box of AI models to ...
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