2020
DOI: 10.1016/j.scitotenv.2019.135321
|View full text |Cite
|
Sign up to set email alerts
|

An optimised grey buffer operator for forecasting the production and sales of new energy vehicles in China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
20
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 63 publications
(20 citation statements)
references
References 35 publications
0
20
0
Order By: Relevance
“…With the global warming and the decline of fossil resources, the role of new energy in the field of production and life has become increasingly prominent. The new energy vehicle industry has become the fastest application scenario for the development of new energy industry [1]. As the driving force of new energy vehicles, the production and sales of power batteries have increased rapidly [2].…”
Section: Introductionmentioning
confidence: 99%
“…With the global warming and the decline of fossil resources, the role of new energy in the field of production and life has become increasingly prominent. The new energy vehicle industry has become the fastest application scenario for the development of new energy industry [1]. As the driving force of new energy vehicles, the production and sales of power batteries have increased rapidly [2].…”
Section: Introductionmentioning
confidence: 99%
“…Shepherd et al in [4] discussed the factors affecting the future demand of electric vehicles. Li et al in their study [5] based on the Gompertz model to predict the number of electric vehicles while He et al in [6] used the grey forecast buffer operator to forecast the production and sales of new energy vehicles in China.…”
Section: Introductionmentioning
confidence: 99%
“…ree new fractional weakening buffer operators are proposed, which can effectively weaken the interference of disturbance factors on time series [15]. An optimized grey buffer operator is proposed by introducing accumulation and translation transformation [16].…”
Section: Introductionmentioning
confidence: 99%