Traffic congestion prediction (TCP) plays a vital role in intelligent transportation systems due
to its importance of traffic management. Methods for TCP have emerged greatly with the …

Abstract 1 Short-term wind speed prediction is critical for enhancing the efficiency of wind
power systems and assuring the stability and continuity of power generation and the host …

In this study, we combine graph optimization and prediction in a single pipeline to
investigate an innovative convolutional graph-based neural network for urban traffic flow …

Accurate prediction of the dissolved oxygen level (DOL) is important for enhancing
environmental conditions and facilitating water resource management. However, the …

Wind energy is taken as one of the most potential green energy sources, whose accurate
and stable prediction is important to improve the efficiency of wind turbines as well as to …

With the rapid development of the shipping industry, many factors, such as larger ships,
harsh weather, workers' strikes, surging port throughputs, and the global pandemic, have …

Accurate wind speed forecasting can improve energy management efficiency and promote
the use of renewable energy. However, the inherent nonlinearity and fluctuation of wind …

In order to solve the problem of urban short-term traffic congestion and temporal and spatial
heterogeneity, it is important to scientifically delineate urban traffic congestion response …

The increase in private car usage in cities has led to limited knowledge and uncertainty
about traffic flow. This results in difficulties in addressing traffic congestion. This study …

As a clean fossil energy source, natural gas plays a crucial role in the global energy
transition. Forecasting natural gas prices is an important area of research. This paper aims …