Datasets on probability distributions of arrival and departure times of privately used electric vehicles.

This article presents the data used in the paper "Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimisation of households with photovoltaic system and battery energy storage" [1]. The datasets reported in this paper include the probability distributions of arrival and departure times of privately used vehicles at both home and workplace. The datasets relate to two types of privately used vehicles, namely, those commuting to and from the workplace, and those used for all other activities except attending the workplace. These two vehicle types are referred to as and respectively. The datasets consider different daily travel frequencies, where the term refers to the number of times a vehicle arrives at home each day. The raw data of vehicle usage is sourced from the Victorian Integrated Survey of Travel & Activity (VISTA) [2], which is an ongoing survey that has collected data from 32,000 households and 82,000 people since 2012. This dataset is filtered to obtain the arrival-departure times of privately-used . For the , the filtered data is categorised based on daily travel frequency to obtain the arrival-departure times. Using the filtered and categorised data, the probability distributions of the arrival-departure times for and are extracted. Microsoft Excel and MATLAB software are used to perform the required processing. The experimental methods used to obtain the required data, from downloading the raw datasets to extracting the probability distributions, are described in this paper.