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 …

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 …

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 …

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 …

A variety of supervised learning methods using numerical weather prediction (NWP) data
have been exploited for short-term wind power forecasting (WPF). However, the NWP data …

In power systems that experience high penetration of wind power generation, very short-
term wind power forecast is an important prerequisite for look-ahead power dispatch …

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 …

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 power has great uncertainty and short-term wind power forecasting technology can
provide great help to power system scheduling after wind power integration. In this paper, a …

Wind power is usually closely related to the meteorological information around the wind
farm, which leads to the fluctuation of wind power and makes it difficult to predict precisely. In …