The current era in sustainable development is focused on the rapid integration of renewable
energy sources driven by a wide range of socio‐economic objectives. Due to the inherent …

Renewable energy sources (RES) and electric vehicles (EVs) are widely recognized as
primary ways to reduce carbon emissions and essential components of low-carbon power …

To improve the accuracy of multi‐step wind power forecast, a variational mode
decomposition‐long short‐term memory (VMD‐LSTM) forecast method is proposed. Firstly …

Wind turbines are among the most popular sources of renewable energy. The energy
available from wind varies widely because wind energy is highly dependent on continually …

Estimating prediction intervals (PIs) is an efficient and reliable way of capturing the
uncertainties associated with wind power forecasting. In this study, a state of the art recurrent …

The inherent stochastic nature of wind power requires additional flexibility during power
system operation. Traditionally, conventional generation is the only option to provide the …

Confronted with considerable intermittence and variability of wind power, prediction intervals
(PIs) serve as a crucial tool to assist power system decision-making under uncertainties …

模型预测控制(model predictive control, MPC) 是一种先进的优化算法, 其优势在于通过滚动
优化和反馈校**弥补预测模型精度不高的缺点, 抑制扰动, 提高鲁棒性. **年来已成为应对大规模 …

Extreme weather events have become more frequent in recent years. Wind power can
fluctuate violently in a short period of time due to the influence of extreme weather, which …

In recent years, the frequency of power demand imbalance and negative price phenomenon
has risen due to the rapid expansion of renewable energy sources (RES). Because of this, a …