With the increasing environmental and climate problems caused by global warming, more
and more countries are paying attention to reducing carbon emissions. Accurately predicting …

The prediction of coal mine gas emission is an important indicator for ventilation systems
reliability and a data basis for mine gas extraction design. The traditional gas emission …

Dam deformation prediction methods try to make the predicted values infinitely close to the
true values, but no method can capture all the deformation information and residuals are …

Air quality forecasting is vital for managing and mitigating the adverse effects of air pollution
on human health, crops, and the environment. This study aims to forecast daily time series of …

Air pollution is an issue of great concern globally due to the risks to the health of humanity,
animals, and ecosystems. On the one hand, air quality monitoring systems allow for …

While deep learning models perform well in short-term PM 2.5 forecasting, their performance
tends to decay significantly with increasing forecast spans. This study proposes a “Domain …

Establishing a highly reliable and accurate water quality prediction model is critical for
effective water environment management. However, enhancing the performance of these …

Accurate forecasting of multistep-ahead lake water level is valuable for extreme disaster
prevention and eco-environmental protection. However, existing studies mainly focus on …

With ongoing improvements in infrastructure, extensive data consistently demonstrate that
the development of rural power infrastructure plays a significant role in driving agricultural …

To address the issues of energy supply instability and peak-shaving in remote microgrids,
this paper proposes a biomass-SOFC (Solid Oxide Fuel Cell)-energy storage hybrid system …