The prediction of wind power output is part of the basic work of power grid dispatching and
energy distribution. At present, the output power prediction is mainly obtained by fitting and …

Reliable and accurate ultra-short-term prediction of wind power is vital for the operation and
optimization of power systems. However, the volatility and intermittence of wind power pose …

Wind power (WP) interval prediction has attracted more and more attention in recent years
due to WP's intermittency and uncertainty. However, traditional interval prediction models …

Academics have been interested in renewable energy for a long time, and research has
been done on how to use it, collect it, manage it, make it more efficient, and find uses for it …

Graph neural networks (GNN) can effectively improve wind power forecasting accuracy due
to their ability to capture spatial correlations between wind farms. However, conventional …

Probabilistic forecasting plays an important role in the safety, stability and operation of
power system. The traditional quantile regression method of non-parametric probability …

Regional photovoltaic (PV) power prediction plays an important role in power system
planning and operation. To effectively improve the performance of prediction intervals (PIs) …

Conventional wind speed sensors face difficulties in measuring wind speeds at multiple
points, and related research on predicting rotor effective wind speed (REWS) is lacking. The …

To realize the cascaded utilization of energy, improve the effective utilization of energy, and
further reduce the carbon emissions of integrated energy systems a robust stochastic low …

Due to the uncertainty and fluctuation of wind power generation, probabilistic prediction for
regional wind power generation is critical to accurately quantify the uncertainty of …