Decentralized forecasting of wind energy generation with an adaptive machine learning approach to support ancillary grid services

<p>We report on an approach to distributed wind power forecasting, which supports wind energy integration in power grid operation during exceptional and critical situations. Forecasts are generated on-site the wind power plant (WPP) in order to provide blackout-robust data transmission directl...

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Bibliographic Details
Main Authors: L. Holicki, M. Dröse, G. Schürmann, M. Letzel
Format: Article
Language:English
Published: Copernicus Publications 2023-07-01
Series:Advances in Science and Research
Online Access:https://asr.copernicus.org/articles/20/81/2023/asr-20-81-2023.pdf