Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Where should ML be used rather than (or in combination with) physics-based models? #99

Open
DrCarlosCalderon opened this issue Jun 19, 2024 Discussed in #90 · 1 comment
Labels

Comments

@DrCarlosCalderon
Copy link

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.

@f-rower
Copy link
Collaborator

f-rower commented Dec 4, 2024

@DrCarlosCalderon We have started a new ADViCE blog, would you like to write a short piece with your thoughts on this?

@f-rower f-rower added the content label Dec 4, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

No branches or pull requests

2 participants