Accurate carbon price predictions are of utmost significance in curbing greenhouse gas
emissions and advancing environmentally sustainable, low-carbon development. As carbon …

For the purpose of managing financial risk and making investment decisions, interval stock
price forecasting is essential. Currently, decomposition integration frameworks are widely …

Coastal marine areas are frequently affected by human activities and face ecological and
environmental threats, such as algal blooms and climate change. The community structure …

In the electricity market, the accuracy of electricity price forecasting is significant for real-time
control; however, the complexity and volatility of electricity prices make this a challenge …

The grey prediction model is a scientific and effective prediction method for small amounts of
incomplete data. In this paper, we proposed a particle swarm optimization for mixed mutant …

As indispensable components of rolling axle boxes, the condition of the bearings affects the
safety of the traveling train. Therefore, bearing fault diagnosis is an imperative prerequisite …

Energy emission systems are often influenced by external information and policy shock.
However, conventional grey models ignore the existence of the impact of multiple shock …

The imbalance of coal supply and uncertainty of demand changes have brought great
challenges to the stable supply of coal. In the actual trading process, there are problems …

The compositional data are interrelated, and analyzing the evolution of each component is
crucial for understanding population dynamics. However, the complex structure and tedious …

In the evolving field of industrial intelligent robot manufacturing, efficient production
scheduling is crucial, particularly in scenarios where workshops operate independently due …