<?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/6847FA01-3F9A-4CFD-BF23-6B8DD529F333" ns1:id="6847FA01-3F9A-4CFD-BF23-6B8DD529F333"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/C2A409CA-CFDD-4BCC-A9F2-78D05DD819AC" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/335B65AC-26C4-4108-85DA-E2FE56603ED1" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6036E4F7-A758-4B48-BABC-85A7468D8B81" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/335B65AC-26C4-4108-85DA-E2FE56603ED1" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2024-09-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/68DDF0E2-572F-4E64-8789-D3B97570160F" ns1:rel="FUND" ns1:start="2024-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10093036</ns2:identifier></ns2:identifiers><ns2:title>Short-term prediction of power grid frequency</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Developing a way to provide a short-term prediction of power grid frequency will help deliver the crucial power grid management capabilities needed to cope with an increasingly dynamic power system and meet the Net-Zero challenge we all face.</ns2:abstractText></ns2:project>