ARTICLE
|
doi:10.20944/preprints202205.0123.v1
Subject:
Engineering,
Energy And Fuel Technology
Keywords:
wind energy; digitalisation; collaboration; co-innovation; machine learning; fault detection
Online: 10 May 2022 (03:05:25 CEST)
ARTICLE
|
doi:10.20944/preprints202303.0239.v1
Subject:
Engineering,
Energy And Fuel Technology
Keywords:
Wind energy; Data sharing; Best practice; Machine learning; Model evaluation
Online: 14 March 2023 (02:34:33 CET)