Forecasting CO2 emissions of China's cement industry using a hybrid Verhulst-GM (1, N) model and emissions' technical conversion
The cement industry is a significant contributor to anthropogenic CO 2. For China, the
cement industry is crucial for development, considering the surging urbanization. CO 2 …
cement industry is crucial for development, considering the surging urbanization. CO 2 …
China's natural gas production and consumption analysis based on the multicycle Hubbert model and rolling Grey model
As fossil fuels reserves deplete rapidly and the low-carbon economy develops expeditiously,
especially in China, natural gas as a clean and alternative energy is underway to help meet …
especially in China, natural gas as a clean and alternative energy is underway to help meet …
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 …
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 …
[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) …
Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting
S Ding, R Li, S Wu, W Zhou - Applied Energy, 2021 - Elsevier
Accurate estimations of nuclear energy consumption are an essential process for
formulating appropriate policies and plans in the energy sector and associated companies …
formulating appropriate policies and plans in the energy sector and associated companies …
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 …
quality development of the coal industry, and provides an effective basis for the government …
A novel particle swarm optimization-based grey model for the prediction of warehouse performance
Warehouses constitute a key component of supply chain networks. An improvement to the
operational efficiency and the productivity of warehouses is crucial for supply chain …
operational efficiency and the productivity of warehouses is crucial for supply chain …
Forecasting China's energy production and consumption based on a novel structural adaptive Caputo fractional grey prediction model
China's total energy consumption and production ranks first in the world. However, China's
energy structure is not perfect. Therefore, accurate prediction of future energy trends is of …
energy structure is not perfect. Therefore, accurate prediction of future energy trends is of …
A novel fractional structural adaptive grey Chebyshev polynomial Bernoulli model and its application in forecasting renewable energy production of China
Accurate mid-to-long term China's renewable energy forecasting is becoming more and
more important for integrating renewable energy systems with smart grid and energy …
more important for integrating renewable energy systems with smart grid and energy …