Effective wind-power prediction enhances the adaptability of a wind power system to the
instability of wind power, which is beneficial for load and frequency regulation, helping to …

Carbon neutrality has become the global consensus, and wind power is one of the key
technologies to achieve carbon neutrality in the power system. However, the randomness …

Wind power forecasting has gained significant attention due to advances in wind energy
generation in power frameworks and the uncertain nature of wind. In this manner, to …

There are many features that have been taken into consideration for wind power forecasting.
Since properly ranking these relevant features, often redundant, can be quite difficult, highly …

The inherent intermittency and uncertainty of wind power have brought challenges in
accurate wind power output forecasting, which also cause tricky problems in the integration …

Wind power generation is one of the renewable energy generation methods which
maintains good momentum of development at present. However, its extremely intense …

Studies have demonstrated that changes in the climate affect wind power forecasting under
different weather conditions. Theoretically, accurate prediction of both wind power output …

This paper proposes a CNN-LSTM-LightGBM based short-term wind power prediction
method based on the attention mechanism, which contains three main parts: data …

In order to solve the security threat brought by the volatility and randomness of large-scale
distributed wind power, this paper proposed a wind power prediction model which integrates …

Accurate wind power prediction can improve the safety and reliability of power grid
operation. In this study, a novel deep learning network stacked by independent recurrent …