Submitted by M.L. R. Grove on Fri, 03/11/2023 - 15:11
‘Hard-to-decarbonize’ (HtD) houses are responsible for over a quarter of all direct housing emissions – a major obstacle to achieving net zero – but are rarely identified or targeted for improvement.
Now a new ‘deep learning’ model trained by researchers from Cambridge University’s Department of Architecture promises to make it far easier, faster and cheaper to identify these high priority problem properties and develop strategies to improve their green credentials.
Read the BBC News article here: https://www.bbc.co.uk/news/uk-england-northamptonshire-67304128
Read the Cambridge University Research article here: https://www.cam.ac.uk/research/news/ai-trained-to-identify-least-green-homes-by-cambridge-researchers