A new dataset capturing over 35,000 electric vehicle (EV) charging sessions from 12 residential locations in Norway has been published, providing valuable insights into EV charging behavior in one of the world’s leading markets for electric mobility. The dataset, detailed in the article “Electric vehicle charging dataset with 35,000 charging sessions from 12 residential locations in Norway,” serves as a significant resource for researchers, policymakers, and businesses looking to understand and optimize EV charging patterns.
Lead author Åse Lekang Sørensen, affiliated with SINTEF and the Norwegian University of Science and Technology (NTNU), emphasizes the dataset’s comprehensive nature. It includes detailed information on plug-in and plug-out times, energy charged, and various user-specific data, such as battery capacities and charging power. “This dataset not only highlights current charging behaviors but also allows for realistic predictions and modeling of future EV charging loads,” Sørensen stated.
The implications of this research extend beyond academia. For utility companies, the dataset provides a foundation for analyzing and modeling EV charging loads, which can help in managing energy distribution and integrating EVs into existing power grids. As the number of EVs on the road continues to rise, understanding these charging behaviors is crucial for ensuring grid stability and efficiency.
Automakers and charging infrastructure companies can also leverage this data to refine their products and services. Insights into residential charging schedules can inform the development of smarter charging solutions that optimize energy use and reduce costs for consumers. For example, charging stations could be designed to operate during off-peak hours, potentially lowering energy prices and alleviating stress on the grid.
Moreover, the dataset’s hourly granularity allows for in-depth analysis of energy flexibility, which is becoming increasingly important as more renewable energy sources are integrated into the grid. This aspect of the research can help identify opportunities for demand response programs, where consumers can be incentivized to adjust their charging habits based on grid conditions.
In summary, this dataset not only enhances our understanding of residential EV charging behavior but also opens up numerous commercial opportunities across various sectors, from energy management to automotive innovation. The findings are published in ‘Data in Brief,’ making them accessible to a broad audience interested in the evolving landscape of electric mobility.
