This project develops a model enables the user to minimize the heating loss during airing but ensures to be beneath a certain humidity. This can for example be used to prevent mold. To make the model more usable there is a WebApp, which besides using the model also allows adapting to the local situation. Furthermore there is a Home Assistant Integration.
The model was derrived by mathematically modelling the falling humidity while venting and the fitting the remaining parameters using the least-squares-optimization method. To get this explained more in detail have a look at the paper about it, sadly it is only in german.
Most of the raw data is available in the directory code data The code for developing and training is abailable in the directory code
This project started as a BLL (a project made throughout a year voluntarily which gets graded) and was then expanded to a Jugend-Forscht project.