Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 10th Sept 2026, 07:05:40pm CEST (Norway)
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Daily Overview |
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Electricity markets and consumer preferences Location: Auditorium P: Finn Kydland Session Chair: Bartosz Jusypenko, University of Warsaw | |
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Modeling EV charging behavior with hybrid choice models Cornell University, United States of America Smart charging (also known as V1G) programs adjust the time of day of electric vehicle charging to reduce congestion in the grid, reduce the cost of electricity and/or maximize the use of renewable energy sources. As General Motors (GM) partners with electric utilities to design and implement these programs, it is important to understand customers' preferences and motivations for enrolling. GM executed a conjoint study to quantify how customers make trade-offs among program characteristics and incentives when deciding whether to enroll in a V1G program. We fit several different discrete choice models to the survey data, including benchmark models (conditional logit and mixed logit) and hybrid choice models (latent class logit and integrated choice and latent variable models). Each model provides different behavioral insights and supports different use cases. The latent variable models reveal that environmental concern is a key latent factor for customers, and a useful dimension for differentiating customers. These findings enable GM to implement targeted marketing efforts that promote the environmental benefits of V1G programs to the customer groups who are most likely to be environmentally conscious. | |