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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 …
Forecasting Chinese provincial carbon emissions using a novel grey prediction model considering spatial correlation
H Wang, Z Zhang - Expert Systems with Applications, 2022 - Elsevier
In response to the errors caused by the uniform background value coefficients in the
traditional grey model and the lack of analysis ability of panel data, this study proposes a two …
traditional grey model and the lack of analysis ability of panel data, this study proposes a two …
[HTML][HTML] Comparing forecasting accuracy of selected grey and time series models based on energy consumption in Brazil and India
The study compares the forecasting performance of the grey type models, represented by an
optimized nonlinear grey Bernoulli model (ONGBM), a nonlinear grey Bernoulli model with …
optimized nonlinear grey Bernoulli model (ONGBM), a nonlinear grey Bernoulli model with …
[HTML][HTML] The novel fractional discrete multivariate grey system model and its applications
Fractional order accumulation is a novel and popular tool which is efficient to improve
accuracy of the grey models. However, most existing grey models with fractional order …
accuracy of the grey models. However, most existing grey models with fractional order …
An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production
C Liu, T Lao, WZ Wu, W **e, H Zhu - Expert Systems with Applications, 2022 - Elsevier
Natural gas, an efficient, eco-friendly and clean green energy, has become one of the
important energy structures of various countries in the world, accurately predicting the …
important energy structures of various countries in the world, accurately predicting the …
An enhanced multivariable dynamic time-delay discrete grey forecasting model for predicting China's carbon emissions
L Ye, D Yang, Y Dang, J Wang - Energy, 2022 - Elsevier
The importance for the accurate forecast of carbon emissions affected by many factors is
gradually emerging. Carbon emissions usually lag behind the related factors, which cannot …
gradually emerging. Carbon emissions usually lag behind the related factors, which cannot …
A novel fractional grey Riccati model for carbon emission prediction
Greenhouse gas emissions bring severe challenges to the global climate, and CO 2
emission prediction can provide decision support for atmospheric environmental …
emission prediction can provide decision support for atmospheric environmental …
Prediction of demand for staple food and feed grain by a novel hybrid fractional discrete multivariate grey model
X Zhang, C Rao, X **ao, F Hu, M Goh - Applied Mathematical Modelling, 2024 - Elsevier
Increasing geopolitical conflicts, extreme weather and other emergencies are continuously
affecting global agriculture and food systems, threatening national and regional food …
affecting global agriculture and food systems, threatening national and regional food …
A novel time-delay multivariate grey model for impact analysis of CO2 emissions from China's transportation sectors
CO 2 emissions from the transportation sector occupy an increasingly important proportion
in China's carbon dioxide emissions. Measuring the accumulative impact of factors on …
in China's carbon dioxide emissions. Measuring the accumulative impact of factors on …