A systematic review of deep transfer learning for machinery fault diagnosis

C Li, S Zhang, Y Qin, E Estupinan - Neurocomputing, 2020 - Elsevier
With the popularization of the intelligent manufacturing, much attention has been paid in
such intelligent computing methods as deep learning ones for machinery fault diagnosis …

A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China

X Ma, X Mei, W Wu, X Wu, B Zeng - Energy, 2019 - Elsevier
Introduction of the fractional order accumulation has made significant contributions to the
development of forecasting methods, and fractional grey models play a key role in such new …

Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model

W Wu, X Ma, B Zeng, Y Wang, W Cai - Renewable energy, 2019 - Elsevier
Energy consumption is an international issue and plays an important role in the national
energy security, especially for China of which the energy market is in transition. Accuracy …

The conformable fractional grey system model

X Ma, W Wu, B Zeng, Y Wang, X Wu - ISA transactions, 2020 - Elsevier
The fractional order grey models have appealed considerable interest of research in recent
years due to its high effectiveness and flexibility in time series forecasting. However, the …

[HTML][HTML] A novel nonlinear multivariable Verhulst grey prediction model: A case study of oil consumption forecasting in China

H Li, Y Liu, X Luo, H Duan - Energy Reports, 2022 - Elsevier
Oil resources affect the development of the global economy, so forecasting oil consumption
is a necessary basis for formulating economic and social plans. In this paper, the …

[HTML][HTML] A new multivariable grey prediction model with structure compatibility

B Zeng, H Duan, Y Zhou - Applied Mathematical Modelling, 2019 - Elsevier
A new multivariable grey prediction model was proposed by adding a dependent variable
lag term, a linear correction term and a random disturbance term to the traditional GM (1, N) …

A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries

W Wu, X Ma, Y Zhang, W Li, Y Wang - Science of the Total Environment, 2020 - Elsevier
Nowadays, climate change is one of the most important global issues to the international
community. And nearly thirty kinds of greenhouse gases have been found in the …

Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model

S Ding, N Xu, J Ye, W Zhou, X Zhang - Journal of Cleaner Production, 2020 - Elsevier
Under the background of green and low-carbon economy, comprehensively analyzing the
influential factors and apply them to accurately estimate energy-related CO 2 emissions …

Prediction of energy-related carbon emission intensity in China, America, India, Russia, and Japan using a novel self-adaptive grey generalized Verhulst model

X Li, Z Zhao, Y Zhao, S Zhou, Y Zhang - Journal of cleaner production, 2023 - Elsevier
Excessive energy-related carbon emission intensity will lead to deterioration of
environmental quality and hinder green economic growth. This paper proposes a novel self …

Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model

S Ding, J Ye, Z Cai - Technological Forecasting and Social Change, 2024 - Elsevier
As China stands at a critical juncture in its transition towards a low-carbon future, the precise
prediction and analysis of provincial carbon emissions have emerged as paramount tasks …