Wind power forecasting plays a vital role in enhancing the efficiency of power grid operation
and increasing the competitiveness of power market. In this paper, a novel hybrid …

Wind speed forecasting plays a prominent part in the operation of wind power plants and
power systems. However, it is often difficult to obtain satisfactory prediction results because …

Accurate wind power prediction can alleviate the negative influence on power system
caused by the integration of wind farms into grid. In this paper, a novel combination model is …

With the fast growth of wind power penetration into the electric grid, wind power forecasting
plays an increasingly significant role in the secure and economic operation of power …

With the continued growth of wind power penetration into conventional power grid systems,
wind power forecasting plays an increasingly competitive role in organizing and deploying …

Wind energy prediction has a significant effect on the planning, economic operation and
security maintenance of the wind power system. However, due to the high volatility and …

Accurate wind power forecasting is a vital factor in day-ahead dispatch and increasing the
level of penetration of renewable energy. The feature extraction of meteorological factors …

Due to the fluctuation and intermittency of wind power resources, large-scale wind power
integration brings serious challenges to power systems. Among the existing short-term …

The volatility and uncertainty of wind power often affect the quality of electric energy, the
security of the power grid, the stability of the power system, and the fluctuation of the power …

Accurate and reliable short-term forecasting of wind power is vital for balancing energy and
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …