<?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="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/0ACAFFF0-F876-4182-B7A6-9C8A68D83BCA" ns1:id="0ACAFFF0-F876-4182-B7A6-9C8A68D83BCA"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/DE857AC2-F1D8-46CD-801F-2DB1FD9992B4" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C4C66B76-8E8C-44E9-A418-5832679697A1" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C4C66B76-8E8C-44E9-A418-5832679697A1" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BCEF4DDE-7EBB-4D97-9C5B-9F277C1FEE13" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/2AF41C71-9318-4FC3-8E06-23C0BA29EE3F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C918E1C6-C637-451D-A2E9-2A1E9B2B89EC" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/4E7F0C4A-CAA2-485F-9A9A-0480C3C43F9C" ns1:rel="FUND" ns1:start="2024-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10128885</ns2:identifier></ns2:identifiers><ns2:title>ElectroNautPredict</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>The ElectroNautPredict feasibility project will explore developing an algorithm for accurate range prediction to support embedded hardware in battery-electric vessels.</ns2:abstractText></ns2:project>