How to cite this Dataset
Daneshzand, Farzaneh (2023): Electric Vehicle smart charging simulation and dispatch - code and configuration data. University of Reading. Software. https://doi.org/10.17864/1947.000444
Description
This dataset includes Python code required to simulate the smart charging of an Electric Vehicle (EV) fleet, or similar electricity demand entities, under a variety of tariff / incentive structures and user assumptions. Four modules of code are accompanied by three configuration data files. Descriptions of additional, required input data tables are provided in the Readme. This code was used in preparation of the article, Daneshzand et al (2023), which includes reference to publicly accessible data sources for all required inputs.
Resource Type: | Software |
---|---|
Creators: | Daneshzand, Farzaneh ORCID: https://orcid.org/0000-0002-8434-7794 |
Contributors: | Potter, Ben ORCID: https://orcid.org/0000-0002-8815-907X, Smith, Stefan ORCID: https://orcid.org/0000-0002-5053-4639 and Coker, Phil |
Rights-holders: | University of Reading |
Data Publisher: | University of Reading |
Publication Year: | 2023 |
Data last accessed: | 5 November 2024 |
DOI: | https://doi.org/10.17864/1947.000444 |
Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/444 |
Organisational units: | Science > School of the Built Environment > Energy and Environmental Engineering group |
Participating Organisations: | University of Reading |
Keywords: | electric vehicle, smart charging |
Rights: | |
Data Availability: | OPEN |