Debao Dai

Nov 20, 2024 | mdpi.com | Yunqing Zhao |Debao Dai |Wei Shao

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Aug 27, 2024 | mdpi.com | Wei Shao |Debao Dai |Yunqing Zhao

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Feb 17, 2024 | mdpi.com | Min Zhao |Qing Chen |Debao Dai |Yaodong Fan

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.

Aug 17, 2023 | mdpi.com | Debao Dai |Yu Fang |Shihao Wang |Min Zhao

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticleby 1, 1,*, 2 and 3 1School of Management, Shanghai University, Shanghai 200444, China2Department of Digital Management, Shanghai MAHLE Thermal Systems Co., Ltd., Shanghai 201206, China3SILC Business School, Shanghai University, Shanghai 201800, China*Author to whom correspondence should be addressed.

Feb 21, 2023 | mdpi.com | Min Zhao |Yu Fang |Debao Dai

Abstract:Accurate forecasting of the power structure and sales volume of the automobile industry is crucial for corporate decision making and national planning. Based on the auto sales data from 2011 to 2022 compiled from the official website of the China Association of Automobile Manufacturers (CAAM), the total auto sales in China from 2023 to 2030 were firstly predicted using a combined GM (1,1), and quadratic exponential smoothing forecast model optimized by particle swarm algorithm.