In recent years, with the advent of globalization, the world is witnessing a steep rise in its
energy consumption. The world is transforming itself into an industrial and knowledge …

Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

Accurate prediction of wind speed is of great significance to the operation and maintenance
of wind farms, the optimal scheduling of turbines, and the safe and stable operation of power …

Attribute reduction is one of the most important applications of fuzzy rough sets in machine
learning and pattern recognition. Most existing methods employ the intersection operation of …

Accurate prediction of short‐term wind speed is of great significance to the operation and
maintenance of wind farms, the optimal scheduling of turbines, and the safe and stable …

A composite forecasting framework is designed and implemented successfully to estimate
the prediction intervals of wind speed time series simultaneously through machine learning …

Fuzzy rough set theory has attracted much attention because of its successful application in
uncertainty measurement. To improve the efficiency and robustness of uncertainty measure …

Wind speed (WS) prediction has become popular nowadays due to increasing demand for
wind power generation and competitive development in wind energy. Many prediction …

Wind power, as a promising renewable energy source, has environmental benefits, as well
as economic and social ones. To evaluate wind energy properly and efficiently, this study …

Accurate wind speed forecasting is important in power grid security, power system
management, operation and market economics. However, most research has focused only …