Computer scientists at Loughborough University have created an AI system that can forecast building emission rates of non-domestic buildings.
Dr Georgina Cosma and postgraduate student Kareem Ahmed have designed and trained an AI model to predict emission rate values with 27 inputs. Dr Cosma said: "It's an important first step towards the use of machine learning tools for energy prediction in the UK and it shows how data can ‘improve current processes‘ in the construction industry."
Current methods can take hours to days to produce emission rates and are generated by manually inputting hundreds of variables.The AI model was created with the support of engineering consultancy Cundall's head of research and innovation, Edwin Wealend. It was trained using large-scale data from UK government energy performance assessments to generate an emission value in a split second.