In recent years, placement problems of rapid charging stations for electric vehicles (EVs) have attracted attention for the widespread use of EVs. A latent demand forecast of the rapid charging stations is important for the placement. Here we propose an approach to forecasting this demand.
A key aspect of our approach is to utilize differences between distributions of the gasoline vehicles (GVs) and the EVs for criteria of the demand. We also demonstrate usefulness of our approach through a simple embodiment with synthetic data.
By: Tetsuro Morimura, Shohei Hido, and Sei Kato
Published in: RT0905 in 2010
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