<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/57F35E0D-6A92-4674-91FF-BEB04D6FDAEA" ns1:id="57F35E0D-6A92-4674-91FF-BEB04D6FDAEA"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/5C1E8D18-8C7E-43AB-9003-ED81C247ABA9" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/5C1E8D18-8C7E-43AB-9003-ED81C247ABA9" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2019-03-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/F86C68D2-9BCF-4B17-B4AE-9DE5237D0F0A" ns1:rel="FUND" ns1:start="2018-03-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">133457</ns2:identifier></ns2:identifiers><ns2:title>An Innovative demand forecasting platform for connected electric vehicle fleets: Development &amp;amp; Validation</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>The UK and global Electric Vehicle (EV) market is expected to grow exponentially as countries shift to smart-city models, and race to meet the Paris Climate Change Agreement. There is an urgent need for innovation in both EV ‘hardware’ and ‘software’ (apps/intelligent systems/IoT) to enable the expansion of the global intelligent-mobility market. EV Technology Ltd is developing an intelligent platform which addresses major challenges faced by EV drivers: charging, range and infrastructure. We have previously successfully designed a charge management module. In this project, we aim to further optimise EV fleet-management by the development of an additional module for demand-forecasting. This module will allocate resources efficiently, optimising decision-making for the demand-vs-charge-vs-journey selection cycle. Through this project, we will demonstrate the economic viability of using EVs for all on-demand mobility-providers.</ns2:abstractText></ns2:project>