Wind power represents a promising source of renewable energies. Precise forecasting of
wind power generation is crucial to mitigate the challenges of balancing supply and demand …

As a type of clean and renewable energy source, wind power is widely used. However,
owing to the uncertainty of wind speed, it is essential to build an accurate forecasting model …

Wind energy has been well recognized as a renewable resource in electricity generation,
which is environmentally friendly, socially beneficial and economically competitive. For …

Abstract Wind Power Density (WPD) is a crucial parameter that can be used in assessing the
potential of a given site for energy development and determining the suitability of wind …

Wind speed forecasting is critical for a variety of engineering tasks, such as wind energy
harvesting, scheduling of a wind power system, and dynamic control of structures (eg, wind …

Data imputation aims to solve missing values problem which is common in nowadays
applications. Many techniques have been proposed to solve this problem from statistical …

Modeling the wind speed data has important implications in wind studies, providing valuable
insight and parametric quantities for further engineering analysis. The classical modeling …

Wind speed modeling and prediction plays a critical role in wind related engineering
studies. However, since the data have random behavior, it is difficult to apply statistical …

Due to the uncertainty and volatility of wind energy resources, its large-scale consumption in
power gird needs to be based on accurate prediction of output. This puts high demands on …

The integrity of wind power output data is of great significance for the accurate prediction of
wind power and the utilization of wind energy. In this paper, it is found that the power output …