Data-driven techniques can enable enhanced insights into wind turbine operations by
efficiently extracting information from turbine data. This work outlines a data-driven strategy …

Purpose With the continuous development of the wind power industry, wind power plant
(WPP) has become the focus of resource development within the industry. Site selection, as …

Accurate wind energy forecasting has become increasingly important to effectively manage
the energy produced by wind turbine power plants and optimize their operational …

Offshore wind power is an important technology for low‐carbon power grids. To improve the
accuracy, a short‐term offshore wind power prediction method based on significant weather …

The atmospheric boundary layer (ABL) height plays a key role in many atmospheric
processes as one of the dominant flow length scales. However, a systematic quantification of …

Accurate wind speed forecasts are essential for optimizing the efficiency of wind energy
operations. Currently, there is limited research on nationwide assessment of predictive …

In this article, a classification model is established for the flow-induced vibration response
based on the numerical and experimental data, using a deep neural network-based …