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| Title: | A comparison study on electric vehicle growth forecasting based on grey system theory and NAR neural network | Authors: | Zhang, X Chan, KW Yang, X Zhou, Y Ye, K Wang, G |
Issue Date: | 2016 | Source: | In Proceedings of 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 06-09 November 2016, Sydney, NSW, Australia, 2016, p. 711-715 | Abstract: | Grey system forecasting theory model and nonlinear autoregressive (NAR) neural network model for forecasting the number of electric vehicles (EVs) in the city of Shenzhen are established in this paper separately. The number of EVs from 2006 to 2015 was used as the raw data in two models. The effectiveness of the two models are evaluated by various criteria. Afterward, the rationality, precision and the adaptability of the two models are compared. At last, the better model was used to forecasting the number of EVs in Shenzhen from 2016 to 2020. | Keywords: | EV charging demand forecasting Grey system-forecasting theory NAR neural network |
Publisher: | IEEE | ISBN: | 978-1-5090-4075-9 (Electronic) 978-1-5090-4076-6 (Print on Demand(PoD)) |
DOI: | 10.1109/SmartGridComm.2016.7778845 | Description: | 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 06-09 November 2016, Sydney, NSW, Australia | Rights: | ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication X. Zhang, K. W. Chan, X. Yang, Y. Zhou, K. Ye and G. Wang, "A comparison study on electric vehicle growth forecasting based on grey system theory and NAR neural network," 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016, pp. 711-715 is available at https://doi.org/10.1109/SmartGridComm.2016.7778845. |
| Appears in Collections: | Conference Paper |
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| Chan_Comparison_Study_Electric.pdf | Pre-Published version | 517.38 kB | Adobe PDF | View/Open |
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