A Grouth Model By Comoputer Simulated About California Bass

Ma, Guoqiang; Tian, Yunchen; Chong-wen, LI

doi:10.1109/icisce48695.2019.00019

Cited by 1 publication

(1 citation statement)

References 2 publications

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“…The BASS model with weekend coefficient is constructed to obtain the improved BASS model. Guided by the theory of consumer decision-making process, the multiple regression model is established with the parameters of the improved BASS model as the dependent variable [9]. The joint prediction model is obtained by combining the improved BASS model and the parametric regression model, which can achieve better results [10].…”

Section: Introductionmentioning

confidence: 99%

Research on electric vehicle ownership prediction based on BASS model: A case study of Yunnan Province

Jiang

Yin

et al. 2021

E3S Web Conf.

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In order to forecast the number of electric vehicles in Yunnan Province, based on BASS model, this paper uses extensive analogy method to explore the acquisition of m, p and q model parameters, forecasts the purchasing power of the market, and estimates the innovation coefficient and imitation coefficient from three aspects of high potential scenario, base potential scenario and low potential scenario. The number of new energy electric vehicles in Yunnan Province in three scenarios from 2022 to 2035 is predicted. The forecast results show that under the condition of high potential development, the number of new energy vehicles in Yunnan Province will reach 409,600 in 2022; in the case of benchmark potential development, the number of new energy vehicles will reach 291,400 in 2022; in the case of low potential development, the number of new energy vehicles in Yunnan Province will reach 155,400 in 2022.

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Section: Introductionmentioning

confidence: 99%