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Data: A Stochastic Method for Prediction of the Power Demand at High Rate EV Chargers - Data extraction code

Data: A Stochastic Method for Prediction of the Power Demand at High Rate EV Chargers - Data extraction code
Data: A Stochastic Method for Prediction of the Power Demand at High Rate EV Chargers - Data extraction code
This repository holds the code used to extract the relevant journey profiles from the Open Street Map Track Dump for use in predicting the use of high rate EV chargers on main roads in the UK. This dataset supports the publications: Hilton, G., Kiaee, M., Bryden, T. S., Dimitrov, B., Cruden, A., & Mortimer, A. (2018). A stochastic method for prediction of the power demand at high rate EV chargers. IEEE Transactions on Transportation Electrification, 1-36. DOI: 10.1109/TTE.2018.2831003
University of Southampton
Hilton, George
fd332562-ee82-4b62-b99c-0d0ee2e06ca1
Hilton, George
fd332562-ee82-4b62-b99c-0d0ee2e06ca1

Hilton, George (2018) Data: A Stochastic Method for Prediction of the Power Demand at High Rate EV Chargers - Data extraction code. University of Southampton doi:10.5258/SOTON/D0504 [Dataset]

Record type: Dataset

Abstract

This repository holds the code used to extract the relevant journey profiles from the Open Street Map Track Dump for use in predicting the use of high rate EV chargers on main roads in the UK. This dataset supports the publications: Hilton, G., Kiaee, M., Bryden, T. S., Dimitrov, B., Cruden, A., & Mortimer, A. (2018). A stochastic method for prediction of the power demand at high rate EV chargers. IEEE Transactions on Transportation Electrification, 1-36. DOI: 10.1109/TTE.2018.2831003

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TracksInShapefile.m - Workflow
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More information

Published date: 1 June 2018
Organisations: Education Hub

Identifiers

Local EPrints ID: 424128
URI: http://eprints.soton.ac.uk/id/eprint/424128
DOI: doi:10.5258/SOTON/D0504
PURE UUID: 813d6def-f0d2-48e7-affc-a132ee0609b5

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Date deposited: 04 Oct 2018 16:37
Last modified: 07 Nov 2023 20:20

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Contributors

Creator: George Hilton

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