Description
The invention relates to a demand prediction method for an electric automobile multimode public charging network, which utilizes a modeling framework based on an agent to construct a user and multimode public charging network, and uses a utility score and a co-evolution algorithm to simulate the daily travel of the user and the interaction between charging behaviors and the public charging network, thereby providing reliable and comprehensive estimation for the potential demands of different service modes so as to reasonably plan the deployment of various novel charging services in the urban public charging network. The method well compensates for the lack of the field data of the emerging charging service and can provide feasibility information for service providers and other stakeholders for integrating the novel charging service as a part of the urban public charging network, thereby being beneficial to designing, deploying and operating the urban public charging system with high efficiency and sustainability.| Period | 2024 → … |
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| Held at | Monash Suzhou Research Institute |