This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …

This paper presents an overview of existing research on wind speed and power forecasting.
It first discusses state-of-the-art wind speed and power forecasting approaches. Then …

Variations of produced power in windmills may influence the appropriate integration in
power-driven grids which may disrupt the balance between electricity demand and its …

As a response to rapidly increasing penetration of wind power generation in modern electric
power grids, accurate prediction models are crucial to deal with the associated uncertainties …

To reduce network integration and boost energy trading, wind power forecasting can play an
important role in power systems. Furthermore, the uncertain and nonconvex behavior of …

Wind power generation differs from conventional thermal generation due to the stochastic
nature of wind. Thus wind power forecasting plays a key role in dealing with the challenges …

In recent years, environmental considerations have prompted the use of wind power as a
renewable energy resource. However, the biggest challenge in integrating wind power into …

Since wind at the earth's surface has an intrinsically complex and stochastic nature, accurate
wind power forecasts are necessary for the safe and economic use of wind energy. In this …

Generating accurate wind energy and/or power forecasts is crucially important for energy
trading and planning. The present study initially gives an extensive review of recent …

Wind power plants are clean energy resources and are increasingly utilizing in power
systems. The wind power forecasting is complicated due to the volatile nature of wind speed …