Descriptor: Simon Fraser University Electric Vehicle Parking Dataset (SFU-EVP)

Simon Fraser University (SFU) aims to make a significant contribution to the study of electric vehicle (EV) utilization and power grid management by providing a comprehensive dataset [Simon Fraser University electric vehicle parking dataset (SFU-EVP)] of EV charging sessions since 2019. This dataset will be continually updated in the future. This extensive dataset presents valuable information on EV charging patterns, providing critical input for power grid planning, policy development, rate design, and infrastructure placement. It also offers opportunities to improve load forecasting, ensure grid stability, and improve the integration of renewable energy. Furthermore, data can facilitate research toward optimizing various vehicle-to-grid (V2G) services, including harnessing EVs as distributed energy storage systems. All data are stored in the commonly used and easily accessible comma-separated value (CSV) file format. By making this dataset publicly available, SFU has created a vital dataset that can drive further innovation and efficiency in EV technology and grid management, fostering a more sustainable and environmentally friendly future.

IEEE SOCIETY/COUNCIL Power and Energy Society (PES)

DATA TYPE/LOCATION Time-Series; SFU Campuses, Metro Vancouver, Canada

DATA DOI/PID 10.21227/ya1w-m583