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Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data
Research article (Wind Energy, 2021) · cited 51× · AI/ML
Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data
Summary
Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data is a scholarly article[1].
Key Facts
Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data. Retrieved May 24, 2026, from https://4ort.xyz/entity/conditional-variational-autoencoders-for-probabilistic-wind-turbine-blade-fatigue-estimation-using-supervisory-control-a
MLA“Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/conditional-variational-autoencoders-for-probabilistic-wind-turbine-blade-fatigue-estimation-using-supervisory-control-a.
BibTeX@misc{4ortxyz_conditional-variational-autoencoders-for-probabilistic-wind-turbine-blade-fatigue-estimation-using-supervisory-control-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data}}, year = {2026}, url = {https://4ort.xyz/entity/conditional-variational-autoencoders-for-probabilistic-wind-turbine-blade-fatigue-estimation-using-supervisory-control-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data — https://4ort.xyz/entity/conditional-variational-autoencoders-for-probabilistic-wind-turbine-blade-fatigue-estimation-using-supervisory-control-a (retrieved 2026-05-24)
