Prediction of electric vehicle charging load based on MATLAB: a case study of Shanghai

Hongze Qiu

doi:10.1117/12.2686044

28 July 2023 Prediction of electric vehicle charging load based on MATLAB: a case study of Shanghai

Hongze Qiu

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127563P (2023) https://doi.org/10.1117/12.2686044
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

Based on MATLAB software and from the perspective of supply chain management, this paper models the sales volume of electric vehicles in Shanghai in the next few years with GM (1,1) model, and draws the conclusion that the sales volume of electric vehicles in Shanghai will increase exponentially in the next few years; At the same time, based on the prediction results, the possible charging load of electric vehicles in Shanghai in 2024 is simulated by Monte Carlo, which provides reference value for evaluating the impact of electric vehicles on the local grid load, and puts forward policy recommendations to the government.

Citation Download Citation

Hongze Qiu "Prediction of electric vehicle charging load based on MATLAB: a case study of Shanghai", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127563P (28 July 2023); https://doi.org/10.1117/12.2686044

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