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A systematic review of deep transfer learning for machinery fault diagnosis
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 …
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
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 …
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
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 …
energy security, especially for China of which the energy market is in transition. Accuracy …
The conformable fractional grey system model
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 …
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 …
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) …
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
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 …
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
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 …
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
Excessive energy-related carbon emission intensity will lead to deterioration of
environmental quality and hinder green economic growth. This paper proposes a novel self …
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 …
prediction and analysis of provincial carbon emissions have emerged as paramount tasks …