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- W1546671130 abstract "If at least one reference wind turbine is available, which provides sufficient information about the wind turbine loads, the loads acting on the neighbouring wind turbines can be predicted via an artificial neural network (ANN). This research explores the possibilities to apply such a network not only within a wind park but on turbines located at different sites. Following the idea to develop a tool to forecast the particular loads of any wind turbine in the field without the need to install additional measuring systems, a model has been developed needing only signals contained in the Supervisory Control and Data Acquisition (SCADA) data as input signals." @default.
- W1546671130 created "2016-06-24" @default.
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- W1546671130 date "2011-03-14" @default.
- W1546671130 modified "2023-10-17" @default.
- W1546671130 title "Artificial Neural Networks for SCADA Data based Load Reconstruction (poster)" @default.
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