alan-turing-institute / ADViCE

AI for Decarbonisation's Virtual Centre of Excellence
https://alan-turing-institute.github.io/ADViCE/
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Where should ML be used rather than (or in combination with) physics-based models? #99

Open DrCarlosCalderon opened 4 months ago

DrCarlosCalderon commented 4 months ago

Discussed in https://github.com/alan-turing-institute/ADViCE/discussions/90

Originally posted by **samyoung-dsci** June 17, 2024 There was lots of discussion on the webinar around physics-based models and ML, including the question: "We've had tremendous success using physics-based models to do much if not most of the benefits of heat pump optimisation, flow temperature control, and optimising for weather forecast and electricity price trade-offs, consistently delivering substantial running cost savings. Is it important whether or not a model is physics-based or 'black box AI'?" I think a lot of people in the buildings space lean quite strongly towards physics-based models, so I'm interested where people think ML/AI should replace (or augment) physics-based models.