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California Agencies Improve EV Demand Forecasting through Consumer Surveys and Industry Collaboration

August 19, 2025 | California State Senate, Senate, Legislative, California


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California Agencies Improve EV Demand Forecasting through Consumer Surveys and Industry Collaboration
The Joint Hearing of the Select Committee on Native American Affairs and the Joint Legislative Audit Committee convened on August 19, 2025, to discuss critical issues surrounding electric vehicle (EV) implementation and data center operations in California. The meeting focused on the predictability and accuracy of future energy demands related to these sectors.

The discussion began with an inquiry into the predictability of EV loads and their future implementation. A representative from the California Energy Commission highlighted that EVs have become more predictable due to improved understanding of their charging profiles, which is informed by historical data. This data reflects the growth of EV penetration over recent years, allowing for more accurate projections of future demand.

The representative explained that the forecasting of EV demand is supported by a combination of historical data, consumer choice surveys conducted every three years, and collaboration with industry stakeholders, including original equipment manufacturers (OEMs). These efforts have led to a more reliable understanding of consumer preferences regarding technology adoption.

However, the representative noted that while EV demand forecasts have improved, there remains a degree of uncertainty. In contrast, the uncertainty surrounding data centers is significantly higher, indicating challenges in predicting their energy needs.

The meeting underscored the importance of data-driven approaches in planning for California's energy future, particularly as the state continues to navigate the complexities of electrification and the integration of new technologies. The discussions concluded with a recognition of the need for ongoing collaboration between government agencies and industry to enhance forecasting accuracy and address the challenges posed by emerging energy demands.

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