<?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="2026-08-26T13:36:10Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/825B4CDE-B7B6-4FAE-A3CA-8A9E9D4AEE72" ns1:id="825B4CDE-B7B6-4FAE-A3CA-8A9E9D4AEE72"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/91AEB884-9B07-4A3D-AE8A-741836D2547F" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/4A063487-09B0-4608-9932-64384451E58E" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/4A063487-09B0-4608-9932-64384451E58E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2020-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/1272D14A-9AC2-4FFD-B240-53FFDECB7CF7" ns1:rel="FUND" ns1:start="2020-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">74391</ns2:identifier></ns2:identifiers><ns2:title>Wind-AI: Wind Turbine Performance modelling utilising Deep Learning with LIDAR Validation - Continuity Grant</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>no public description</ns2:abstractText></ns2:project>