Intelligent grey forecasting model based on periodic aggregation generating operator and its application in forecasting clean energy

2021 ◽  
Author(s):  
Aodi Sui ◽  
Wuyong Qian
Keyword(s):  
Clean Energy ◽  
Forecasting Model ◽  
Model Based ◽  
Grey Forecasting ◽  
Grey Forecasting Model ◽  
Generating Operator

scholarly journals On novel grey forecasting model based on non-homogeneous index sequence

2013 ◽  
Vol 37 (7) ◽  
pp. 5059-5068 ◽  
Author(s):  
Nai-Ming Xie ◽  
Si-Feng Liu ◽  
Ying-Jie Yang ◽  
Chao-Qing Yuan
Keyword(s):  
Forecasting Model ◽  
Model Based ◽  
Grey Forecasting ◽  
Grey Forecasting Model ◽  
Index Sequence

Study of a discrete grey forecasting model based on the quality cost characteristic curve

2017 ◽  
Vol 7 (3) ◽  
pp. 376-384 ◽  
Author(s):  
Wenjie Dong ◽  
Sifeng Liu ◽  
Zhigeng Fang ◽  
Xiaoyu Yang ◽  
Qian Hu ◽  
...  
Keyword(s):  
Prediction Accuracy ◽  
Characteristic Curve ◽  
Grey System Theory ◽  
Forecasting Model ◽  
Quality Level ◽  
Cost Models ◽  
Quality Cost ◽  
Content Type ◽  
Grey Forecasting ◽  
Grey Forecasting Model

Purpose The purpose of this paper is to clarify several commonly used quality cost models based on Juran’s characteristic curve. Through mathematical deduction, the lowest point of quality cost and the lowest level of quality level (often depicted by qualification rate) can be obtained. This paper also aims to introduce a new prediction model, namely discrete grey model (DGM), to forecast the changing trend of quality cost. Design/methodology/approach This paper comes to the conclusion by means of mathematical deduction. To make it more clear, the authors get the lowest quality level and the lowest quality cost by taking the derivative of the equation of quality cost and quality level. By introducing the weakening buffer operator, the authors can significantly improve the prediction accuracy of DGM. Findings This paper demonstrates that DGM can be used to forecast quality cost based on Juran’s cost characteristic curve, especially when the authors do not have much information or the sample capacity is rather small. When operated by practical weakening buffer operator, the randomness of time series can be obviously weakened and the prediction accuracy can be significantly improved. Practical implications This paper uses a real case from a literature to verify the validity of discrete grey forecasting model, getting the conclusion that there is a certain degree of feasibility and rationality of DGM to forecast the variation tendency of quality cost. Originality/value This paper perfects the theory of quality cost based on Juran’s characteristic curve and expands the scope of application of grey system theory.

Sign in / Sign up

Export Citation Format

Share Document