I’ll kick things off with my #1 wish for Eisy in the future.

Use AI in Eisy to watch the sensors in my house and decide most efficient way to use Air Conditioning and my whole house fan .

In addition to normal air conditioning I have a whole house fan and have written programs to limit the AC use during the day, especially during the peak hours when my utility raises the electricity rates. I also open windows and run the fan at night to pre-cool the house and minimize AC use during the day but turn off the fan once the house is cool enough. Yes, here in Colorado we always have cool night time temps even on very hot days. This probably requires monitoring the indoor temp, outdoor temp, amt of sun, weather forecast, local time of use energy charges, and AC run time and monitor the house for some time to determine how those factors affect the temperature in the house. I’ve been trying to monitor these things in spreadsheets for years but have never been satisfied with my results. I think AI should be able to build an optimal set of programs. Your thoughts?

Edited September 10Sep 10 by photogeek54

@photogeek54 ,

100% doable. Currently, it's reading the log and can definitely tell you the pattern. We are working on another tool that reads the properties database, which will make it even more robust.

With kind regards,
Michel

Basically, you're looking at implementing an economizer (the HVAC term for that) as a software function. the hard part is determining the optimal point where this becomes worthwhile. It's a function of cooling vs dehumdifying, whereby if the cool outside aire is dry enough, it's worthwhile to bring it in instead of trying to cool the hot inside air through air conditioning. Bringing in cool but humid air can negate your savings because the system need to run to dehumidify it first.