It is crucial to predict the wind speed for the utilization of renewable wind energy and the
operation of transmission lines with increased capacity. The intermittency and stochastic …

This work presents a novel hybrid (physics-and data-driven) model for short-term (intra-day
and day-ahead, 3h-24h) wind power forecasting (STWPF). Traditionally, STWPF predictors …

Accurate wind speed prediction is significant to maintain the stable power system operation
and enhance wind power utilization efficiency. However, most of wind speed prediction …

Regional wind speed prediction is an important spatiotemporal prediction problem which is
crucial for optimizing wind power utilization. Nevertheless, the complex dynamics of wind …

Accurate prediction of spatial–temporal extreme wind gust is vital for the wind farm dynamic
regulation, the floating wind turbine deployment and its early warning. Deep-learning …

Wind field forecasting is crucial for human activities, but numerical weather prediction still
has room to improve accuracy. In this paper, we formalize wind field forecast correction as a …

Colorectal cancers are the third-largest kind of cancer in the world. However, detecting and
removing precursor polyps with adenomatous cells using optical colonoscopy images helps …

Regional wind speed prediction is an important spatiotemporal prediction problem which is
crucial for optimizing wind power utilization. The evolving dynamics of wind could be …