This would be most useful as a CSV file.
Data available should include date/time, actual room temp, demand temp (what the heating has been set to), humidity, open window detection, etc.
I would like to be able to analyse my own data, and be able to make easier comparisons between rooms, ie how the humidity upstairs changes when heating is on downstairs, or how long a window needs to be opened to control humidity better.
I support this suggestion.
heating costs went up 20% this year and it would be nice ti get all data to try figuring out a reason6
Is there any update since this question was posted? How difficult is it to export data? Switchbot provides the options to export realtime temperature and humidity data to csv or txt file from your app3
Yup, I want this too. Preferably as download and through API access. That way, you can make rulesets based on behavior and events!4
There is information out there on how to access the API that the mobile app uses to get the chart data. For example:
I used it today so that I could plot the data from multiple rooms on a single chart. I pulled the data into a Google Sheet and then used Data Studio to graph it.4
It would be great to download our own data in .csv format or something similar. It would be nice to be able to analyse whether a certain change makes a difference in heat, eg add extra insulation on the roof of the bathroom, or more ordinary, keep the curtains closed at night, a wood stove, ... Or even simpler, how much energy* we can save by setting the temperature a degree lower.
Possibly not a top priority feature, yet might be a great, and as far as I know, unique (?) feature.
A possible process of such an analysis would be that you click "watch bathroom changes", you make the change like add extra roof insulation and after a period of time, for example, one week it should be able compare the decrease in heat requests from the bathroom, and see a slower cooling down. To get a more accurate result these numbers should be calibrated by comparing its own history with the current and historical heat requests of your other rooms (a multivariate analysis). A report would for example include a savings percentage, similar to the monthly savings report we already get.
Although I see great potential in such a feature, I understand it would not be something everyone is interested in. Yet it should be a very interesting addition to the current monthly savings report. And if Tado considers it isn't really part of their core business, by releasing our own data maybe someone else could make a tool to make the analysis.
*This might even be improved by calibration by adding gas meter data?1
I really need this as well.
As a an Engineer I am really throwing away a lot of value by not being able to work on the data.
For instance, it’s nice that your app shows one of my radiators is on 34% of the time and another is on 10%…
But it would be nice for me to be able to add variables like estimated flow. The radiator that is only on 10% of the time has 5x the flow as the one on 30%
In my humble opinion a really interesting thing to get as actionable insight, if your goal is energy saving, is the energy use of each radiator(/room).
So please, allow me easy and complete access to my own dataset.1
I agree with all the above. Would be very useful, and would likely rise the value of installing Tado in the eyes of future customers!1
I absolutely agree that this would add value to the TADO portfolio. The plots give a nice view on what's happening, but are not really helpful for further analysis.
A .csv export would be a good solution.1
I agree, as a long term user with multiple devices I too would love to have easy access to data exports.1
Same here, data export would be highly beneficial, by preference an automatic based on schedule so I can create my own dashboard in BI.1
Ditto !! for exactly the reason Shiv has done - I'll try his method.1
It already exists. It is not documented by tado, so use at own risk - changes can occur at random timestamp, although it is rather stable.
Just Google for it, a good starting point is https://shkspr.mobi/blog/2019/02/tado-api-guide-updated-for-2019/ as mentioned above already.1
I think I posted this elsewhere on this forum before, but worth sharing here.
I posted a version of my google sheet that pulls down data from the API on Reddit a while back.
You can find it here:
Caveat: you probably shouldn't try this if you don't feel comfortable auditing the code for yourself.1