Wind power curves play important roles in wind power forecasting, wind turbine condition
monitoring, estimation of wind energy potential and wind turbine selection. In practice, it is a …

Wind turbine power curve (WTPC) modeling is of great importance for performance
monitoring. This work proposes a new method for producing highly accurate non-parametric …

Due to the significant increase of the number of wind-based electricity generation systems, it
is important to have accurate information on their operational characteristics, which are …

In the past two decades, wind energy has been under fast development worldwide. The
dramatic increase of wind power penetration in electricity production has posed a big …

Accurate and credible operation data sets of wind and solar power stations are the basis of
many research works. However, such data sets often contain abnormal data due to failure …

This paper proposes an image-based algorithm for detecting and cleaning the wind turbine
abnormal data based on wind power curve (WPC) images. The abnormal data are …

A fast wind turbine abnormal data cleaning algorithm via image processing for wind turbine
power generation performance measurement and evaluation is proposed in this paper. The …

With the rapid development of wind farm worldwide, monitoring the status of numerous wind
turbines becomes the essential work. Abnormal data in wind power curve (WPC) are quite …

This paper creatively proposes a complete set of procedures to identify and eliminate
outliers of wind-power data based on the framework of classification processing. Outliers are …

In this article, a conditional variational autoencoder based method is proposed for the
probabilistic wind power curve modeling task. To advance the modeling performance, the …