A state-of-the-art review on recently developed sustainable and green cooling/lubrication technologies in machining metal matrix composites (MMCs)

RA Laghari, N He, M Jamil, MI Hussain… - International Journal of …, 2023 - Springer
Metal matrix composites (MMCs) are lightweight, hard materials applied in heavy-duty
applications such as automobile, aerospace, and electronics, as well as sports equipment …

A hybrid coal prediction model based on grey Markov optimized by GWO–A case study of Hebei province in China

Y Xu, T Lin, P Du - Expert Systems with Applications, 2024 - Elsevier
Accurate prediction of coal consumption is crucial to the structural adjustment and high-
quality development of the coal industry, and provides an effective basis for the government …

Prediction of carbon dioxide emissions in China using a novel grey model with multi-parameter combination optimization

F Yin, Z Bo, L Yu, J Wang - Journal of Cleaner Production, 2023 - Elsevier
With the rapid development of industrialization and urbanization in China, the carbon
dioxide emissions keep increasing for a long time. It is of great significance to reasonably …

A combined prediction model based on secondary decomposition and intelligence optimization for carbon emission

H Yang, M Wang, G Li - Applied Mathematical Modelling, 2023 - Elsevier
Accurate prediction of carbon emission is critical for the development of low-carbon
economy. However, most carbon emission prediction studies use a single model with low …

[HTML][HTML] Dual-stage ensemble approach using online knowledge distillation for forecasting carbon emissions in the electric power industry

R Lin, X Lv, H Hu, L Ling, Z Yu, D Zhang - Data Science and Management, 2023 - Elsevier
The electric power industry is the key to achieving the goals of carbon peak and neutrality.
Accurate forecasting of carbon emissions in the electric power industry can aid in the prompt …

A novel carbon emission estimation method based on electricity‑carbon nexus and non-intrusive load monitoring

Y Xia, G Sun, Y Wang, Q Yang, Q Wang, S Ba - Applied Energy, 2024 - Elsevier
Accurate carbon accounting is foundational for power enterprises' participation in the carbon
market. Current research on estimation of carbon dioxide emissions through electricity …

[HTML][HTML] Forecasting and mitigation of global environmental carbon dioxide emission using machine learning techniques

H Bhatt, M Davawala, T Joshi, M Shah… - Cleaner Chemical …, 2023 - Elsevier
Carbon dioxide emission has emerged as a major concern in the 21st century. The rising
global average temperature and its impact on climate change has a major impact on the …

Spatiotemporal evolution and influencing factors of carbon emission efficiency in the Yellow River Basin of China: comparative analysis of resource and non-resource …

Y Xu, Y Cheng, R Zheng, Y Wang - International Journal of …, 2022 - mdpi.com
Comparing the carbon emission efficiency (CEE) of resource and non-resource-based cities
in the Yellow River Basin (YRB) can guide their synergistic development and low-carbon …

Research on China's carbon emission efficiency and its regional differences

X Zhao, H Xu, Q Sun - Sustainability, 2022 - mdpi.com
With the development of China's economy, China is emitting more and more carbon. At the
same time, it has also exposed the problem of carbon emission efficiency differences …

Carbon emissions prediction based on the GIOWA combination forecasting model: A case study of China

H Wang, Z Wei, T Fang, Q Xie, R Li, D Fang - Journal of Cleaner Production, 2024 - Elsevier
Mitigating greenhouse gas emissions is a significant global challenge, and precise
prediction of carbon emissions holds the utmost importance for China to attain its dual …