Discrete grey forecasting model and its optimization
By Nai-ming Xie, Sifeng Liu. 2009
489 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/1ef4edf758e48a7c8bb94314e4e8051166a5ac54
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In Computational Mechanics
In Computational Theory and Mathematics
In Management Science and Operations Research
Citations in the corpus
- A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers (2019, methodology): “The DGM model does not differentiate approximate substitution between the discrete equation and the continuous equation compared with GM(1, 1) model, in which the method of estimating parameters is the discrete equation and the method of simulating and forecasting is the continuous equation, so it h”
- Improved GM(1,1) model based on Simpson formula and its applications. (2019, methodology): “For instance, an efficient way to improve the effectiveness of the grey models was thw development of discrete grey models DGM(1,1) (Xie and Liu [23]).”