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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.
The text was updated successfully, but these errors were encountered:
Discussed in #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.
The text was updated successfully, but these errors were encountered: