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 …

A novel fractional structural adaptive grey Chebyshev polynomial Bernoulli model and its application in forecasting renewable energy production of China

Y Wang, R Nie, P Chi, X Ma, W Wu, B Guo, X He… - Expert Systems with …, 2022 - Elsevier
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 …

A novel self-adaptive fractional multivariable grey model and its application in forecasting energy production and conversion of China

Y Wang, L Wang, L Ye, X Ma, W Wu, Z Yang… - … Applications of Artificial …, 2022 - Elsevier
Energy production and conversion have a significant impact on the economic development
of all countries in the world. China's energy production and conversion are large. Therefore …

A novel fractional time-delayed grey Bernoulli forecasting model and its application for the energy production and consumption prediction

Y Wang, X He, L Zhang, X Ma, W Wu, R Nie… - … Applications of Artificial …, 2022 - Elsevier
Energy affects the stable and sustainable development of social economy. Energy prediction
plays an important role in the process of China's energy market transformation. Scientific …

Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel …

U Şahin - Expert Systems with Applications, 2022 - Elsevier
Abstract China and the United States (US) are in the first two places among the countries
that consume the most primary energy and emit CO 2 emissions in the world. Considering …

Predictive analysis of quarterly electricity consumption via a novel seasonal fractional nonhomogeneous discrete grey model: A case of Hubei in China

WZ Wu, H Pang, C Zheng, W Xie, C Liu - Energy, 2021 - Elsevier
Accurate electricity consumption forecasting plays a crucial role in electric power systems
and is a challenging task due to its complicated mechanism induced by multiple influential …

Using a self-adaptive grey fractional weighted model to forecast Jiangsu's electricity consumption in China

X Zhu, Y Dang, S Ding - Energy, 2020 - Elsevier
The remarkable prediction performance of electricity consumption has always assumed
particular importance for electric power utility planning and economic development. On …

[HTML][HTML] Forecasting natural gas consumption of China by using a novel fractional grey model with time power term

C Liu, WZ Wu, W Xie, T Zhang, J Zhang - Energy Reports, 2021 - Elsevier
Natural gas, an important low-carbon and clean energy, is increasingly replacing high-
pollution sources such as coal and gasoline. Accurate natural gas consumption forecasts …

Forecasting China's energy production and consumption based on a novel structural adaptive Caputo fractional grey prediction model

Y Wang, Z Yang, L Wang, X Ma, W Wu, L Ye, Y Zhou… - Energy, 2022 - Elsevier
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 …

Forecasting fuel combustion-related CO2 emissions by a novel continuous fractional nonlinear grey Bernoulli model with grey wolf optimizer

W Xie, WZ Wu, C Liu, T Zhang, Z Dong - Environmental Science and …, 2021 - Springer
Foresight of CO 2 emissions from fuel combustion is essential for policy-makers to identify
ready targets for effective reduction plans and to further improve energy policies and plans …