In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …

Information is key. Offshore wind farms are installed with supervisory control and data
acquisition systems (SCADA) gathering valuable information. Determining the precise …

Accurate wind speed forecasting is the key to safe and economic operation of electric power
and energy systems. As a Bayesian nonparametric method, Gaussian process regression …

In the field of structural health monitoring (SHM), the acquisition of acoustic emissions to
localise damage sources has emerged as a popular approach. Despite recent advances …

Wind power curve (WPC) is established through data collected from the Supervisory Control
and Data Acquisition (SCADA) system of each wind turbine, which can be used to analyze …

A population‐level analysis is proposed to address data sparsity when building predictive
models for engineering infrastructure. Utilizing an interpretable hierarchical Bayesian …

Wind-generating resources are variable and uncertain compared to traditional power
generation resources. The accurate short-term forecasting of power outputs is essential to …

The quantification of wave loading on offshore structures and components is a crucial
element in the assessment of their useful remaining life. In many applications the well …

Accurate wind power curves (WPCs) are crucial for wind energy development and
utilization, eg, wind power forecasting and wind turbine condition monitoring. In the era of …

Due to the stochastic nature of the source, wind turbines operate under non-stationary
conditions and the extracted power depends non-trivially on ambient conditions and working …