Accurately predicting wind and photovoltaic power is one of the keys to improving the
economy of wind-solar complementary power generation system, reducing scheduling costs …

Abstract Few-Shot Short-Term Wind Power Forecasting (FS-STWPF) is designed to develop
accurate short-term wind power forecasting models with limited training data, reducing the …

With the increasing proportion of renewable energy being integrated into the power system,
the stable operation of the power system is facing great challenges. Breaking through the …

Accurate short-term photovoltaic (PV) power forecasting results can provide solid supports
for power gird management. The PV power generation exhibits different daily output patterns …

The inherent volatility and uncertainty of wind speed can exert high pressure on power grid
operations, making an accurate wind speed prediction model essential. Most existing …

Previous research on the atmospheric environment has considered the existence of time lag
in economic impacts, while ignoring the accumulative time-delay effects between factors …

As the increase of renewable energy in the power grid, the impact of its random volatility on
the grid becomes more and more significant. Power forecasting technology, especially on …

The numerical weather prediction (NWP) is crucial to improve intraday wind power
forecasting (WPF) accuracy. However, conventional WPF methods relied solely on a latest …

This paper proposes a method based on Computational Fluid Dynamics (CFD) and the
detection of Wind Energy Extraction Latency for a given wind turbine (WT) designed for ultra …

The integration of large-scale wind power into the power grid threatens the stable operation
of the power system. Traditional wind power prediction is based on time series without …