Christopher Young here. I’m a network engineer by background, but dabble in a bunch of different stuff including some amateur data science ( mostly coursera courses, Kaggle, etc… ). I also run a Youtube channel on smartphone and have no idea how many devices I have currently in the house, although Apple Homekit is showing more than 270.
I’ve been running Sense for a couple of years now and have found it… ok. But it doesn’t achieve my goals by itself. (I can’t currently acheive my goals without it either though… so I still recommend it all the time! )
I’ve been slowly replacing every powerbar in my house with TP Kasa HS300s ( 24 and counting )to be able to use the sense integration and I HOPE to have the “other” category down to as close to 0 as possible in the next couple of months.
Although Sense is AMAZING as a monitoring tool, where it’s not meeting my goals is around the feedback loop and some of the reporting. With the integration of the Hue lights, TPKasa plugs I SHOULD be able to identify which devices are creating a vampire draw in periods where they aren’t been used at all. I have a TV that draws 18w will turned off. In an ideal world, I’d like to be able to have a report that shows what devices are responsible for the highest vampire draw. Identify if they aren’t been used over a period of time ( ie - these stuff is all turned off between 12am and 7am for the last 6 months, but it’s still consuming X amount of energy ) and then allow me to automatically create a schedule that’s going to turn it off during those hours and then turn them back on in the morning.
My current plan is to do this manually by exporting the data or using the python library, but give these are supported integrations, I would expect that Sense should be able to do this for me out of the box.
As I’m almost hitting the point where I’ve got all the pugs instrumented properly, I’m hoping to be able to dive into the data and really cut out usage and save some $$$ in 2021.
Looking forward to learning with you all!