Demystifying Differentiable Programming (2018)

Re:Demystifying Differentiable Programming (2018) by sdenton4 on Sunday February 16, 2020 @11:52PM (#22345689)

I think it can definitely help in the thermostat example. This was literally the original value proposition of the Nest Thermostat, and they went to some length to demonstrate that they were effective, using both internal and third-party studies. The claim is an average of $130 in energy savings per customer per year... Which translates directly into a positive effect for carbon emissions.

https://storage.googleapis.com/nest-public-downloads/press/d...

So, if you throw a whole lot of effort at it today, it can work well! I just want this sort of thing to be more automatic.

[ Parent | on HN ]

Re:Demystifying Differentiable Programming (2018) by taeric on Monday February 17, 2020 @12:50AM (#22345864)

Exactly, I feel there is stuff there. I just don't feel it is as simple as a loss function. It generally is more capability and more data.

The nest is odd, to me, as I live without an air conditioner. So, at best, it can keep things off when we are not at home. But, you can't just turn on when we are home, as at that point it is too late to hit and maintain comfort before bed.

So, we are back to adding more to my house just to support the data and control this is looking to bolster. Which is almost certainly a net negative, all told. :(

[ Parent | on HN ]