Wind power forecasting (WPF) is the crucial technology for power system operation with
large-scale grid-connected wind farms. A large number of related studies have emerged …

Artificial intelligence has evolved into a mechanism that can predict environmental changes
and investigate climatic conditions. In recent days, extreme precipitation and flooding have …

Accurate wind power predictions (WPPs) are highly significant to the safety, stability, and
economic operation of power systems. The reported encoder-–decoder architectures have …

Accurate wind speed forecasting is vital to unlocking the potential of wind energy and
improving its utilization. By focusing on the input optimization of the network, this study …

Wind energy is a promising sector in the power generation industry because it is renewable
and globally available. In this research work, the wind energy potential and the economic …

By integrating preventive, proactive, and reactive maintenance strategies, offshore wind farm
(OWF) operators can ensure that wind turbines (WT) can operate as much as possible …

The swell-shrink characteristics of the expansive soils, due to the properties of their clay
minerals, make them unsuitable for engineering constructions in their natural forms. One of …

For the problem that it is difficult to accurately measure the air volume in the tunnel where
the mine ventilation structure is located. Firstly, the tunnel air volume value is expressed by …

Deep learning (DL) has captured the attention of the community with an increasing number
of recent papers in regression applications, including surveys and reviews. Despite the …

There is an increased focus on how to improve tourism quality in rural areas. To provide
reference and guidance for both tourists and tourism departments, a multi-dimensional …