基于多源数据融合的电动汽车充电站选址指标体系及其评价研究OA

Addressing the shortcomings of existing site selection index systems for charging stations and the lack of scientific rigor in their evaluation methods,an index system and an e-valuation method for electric vehicle charging station siting based on multi-source data fu-sion were proposed.On the basis of multi-source data fusion,five influencing factors,namely population density,business district density,parking lot density,distance from ex-isting charging stations and distribution network capacity,were selected to construct the in-dex system for charging station siting.The Analytic Hierarchy Process(AHP)was em-ployed to calculate the weight of each index.A siting evaluation model based on random for-est regression was designed.By establishing a nonlinear mapping relationship between site selection characteristic factors and operational benefits,candidate sites were classified and graded.Taking four candidate sites in Nanchang city as research samples,site selection anal-ysis and comprehensive evaluation were conducted.The experimental results demonstrated that the proposed method achieved high accuracy and satisfactory applicability.