A Dataset for EV movement and charging based on metropolitan Melbourne

This document presents a dataset based on which electric vehicle (EV) movement and charging may be simulated. Data is collected from various sources describing the metropolitan Melbourne area and comprises: A list of EVs, suburb locations and dwelling statistics, residential consumption patterns considering deviations based on suburb and household size, statistics regarding work behaviour including commute patterns, pricing for various electricity products as well as statistical data to derive rooftop photo voltaic (PV) generation. Furthermore, methodologies are provided to create rudimentary probability distributions describing forecasts for residential electricity consumption and rooftop PV generation based on historic data. Lastly, a methodology for basic shift scheduling is presented, allowing to create basic travel patterns for EVs commuting between their residences and places of employment.