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Yaoguo Dang
Researcher at Nanjing University of Aeronautics and Astronautics
Publications - 76
Citations - 1339
Yaoguo Dang is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Computer science & Interval (mathematics). The author has an hindex of 15, co-authored 63 publications receiving 1003 citations. Previous affiliations of Yaoguo Dang include Nanjing University.
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Forecasting China's electricity consumption using a new grey prediction model
TL;DR: The two empirical results illustrate that the novel initial condition with dynamic weighted coefficients can better adjust to the features of electricity consumption data than the previous initial conditions and show the superiority of the newly proposed model over the benchmark models.
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Novel grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in China
Ning Xu,Yaoguo Dang,Yande Gong +2 more
TL;DR: Wang et al. as discussed by the authors proposed an optimized hybrid GM(1,1) model to improve prediction accuracy of electricity energy consumption (EEC) in short-term time response function (TRF).
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Forecasting Chinese CO 2 emissions from fuel combustion using a novel grey multivariable model
TL;DR: Wang et al. as mentioned in this paper proposed a grey multivariable model to predict future CO2 emissions from fuel combustion from 2014 to 2020, and the forecasted results can provide a solid basis for formulating environmental policies and energy consumption plans.
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An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition
TL;DR: The result of a numerical example indicates that the modified GM(1,1) model can obtain a better prediction performance than that from the original GM( 1,1), and can express the principle of new information priority emphasized on in grey systems theory fully.
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Optimal modeling and forecasting of the energy consumption and production in China
TL;DR: In this paper, a GM (gray model) (1,1) model based on optimizing initial condition according to the principle of new information priority was proposed to predict China's energy consumption and production from 2013 to 2017.