The increasing integration of variable renewable energy resources through power
electronics has brought about substantial changes in the structure and dynamics of modern …

Data-driven approaches show significant potential in accurately forecasting the power
generation of wind turbines. However, it suffers from a lack of training data in various …

Multi-node offshore wind speed forecasting is a challenging task due to the complex
dynamic spatial dependencies and highly nonlinear temporal dynamics present in the …

Accurate ultra-short-term prediction plays a very important role in maintaining power
equipment, preventing accidents, and optimizing dispatch effectiveness. Currently, the …

With the increasing data availability in wind power production processes due to advanced
sensing technologies, data-driven models have become prevalent in studying wind power …

With the widespread use of clean energy, the forecasting of wind power has become
increasingly significant. Extracting time series from sophisticated wind power data and thus …

Large-scale integration of wind energy and large-amplitude wind power fluctuation in
minutes to hours, imposes unprecedented challenges of retaining reliable and secure power …

Precise forecasting of wind speed is vital to guarantee safe travel on bridges. Nevertheless,
current research primarily concentrates on single-point prediction. When it comes to …

With the accelerated development of offshore wind farms, the impact of Wind Power Ramp
Events (WPRE) on power systems has become more pronounced. Accurate prediction of …

The increasing penetration rate of wind power underscores the necessity for accurate
forecasting and alerting of wind power ramp events (WPREs), given the unpredictable …