Awarded
Supply of Feasibility Report into use of 'Dockers' in relation to BEIS Models
Descriptions
The aim of this work is to investigate whether it is possible to take BEIS's existing suite of energy and emissions models and apply advanced data science methods (known as "Dockers") to link the models together. BEIS models use different languages/methods. The aim of this work is to apply the Docker technique to the models, produce the results and provide a short report explaining the approach.
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