Abstract
With the rapid expansion of volume of electric vehicles in China’s transportation system, forecast of the electricity charging load poses challenges in urban planning and grid planning. This article, based on the rudimentary daily operation data of electric vehicles in Shenzhen, made short-term and long-term forecast of charging load. Forecast of the charging load mainly refers to volume of electric vehicles, daily power demand, charging load distribution. Considering the differences in driving characters and vehicle usages, totally 6 categories of vehicles were analyzed in this article. Findings in this article will provide important information for charging pile planning and power grid planning, and put forward constructive opinions for urban services and management.
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Ma, Y., Wang, X. (2022). Forecast of Electric Vehicle Charging Load in Urban Planning – A Study in Shenzhen. In: Katangur, A., Zhang, LJ. (eds) Services Computing – SCC 2021. SCC 2021. Lecture Notes in Computer Science(), vol 12995. Springer, Cham. https://doi.org/10.1007/978-3-030-96566-2_2
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DOI: https://doi.org/10.1007/978-3-030-96566-2_2
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