Burning fossil fuels is a major concern for global warming control. In Saudi Arabia, steam
power plants that relay on boilers to produce the steam accounted for around 50% of the …

Renewable energy, especially wind power, is a practicable and promising solution to
mitigate the existing dilemma associated with climate change. Efficient and accurate …

The selective catalytic reduction (SCR) denitrification efficiency of coal-fired boilers is used
to assess the clean production of power plants. Accurate predictions of NOx emissions at the …

Efficient use of renewable energy is one of the critical measures to achieve carbon
neutrality. Countries have introduced policies to put carbon neutrality on the agenda to …

Frequent load changes pose a major challenge to the realization of pollutant control in
power plants. Accurate and reliable NOx concentration prediction models are of great …

Organs-on-chips (OoCs) are miniature microfluidic systems that have arguably become a
class of advanced in vitro models. Deep learning, as an emerging topic in machine learning …

Integrated energy systems have recently attracted interest for the purpose of energy
development and utilization owing to the increase in environmental pollution and the …

This study was conducted to investigate the performance of a novel Random Forest (RF)
model for predicting variables from an original experimental dataset of a diesel engine …

Accurate NOx concentration prediction is of great significance for the pollutant emission
control and safe operation of coal-fired power plants. The global properties of the research …

Abstract Machine learning method provides a promising way to predict the transient
emission characteristic of diesel engine due to its many advantages such as short …