International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

This report presents an approach for predicting energy consumption in a specific living space based on experimental data on the indoor microclimate. The data for the analysis of the temperature in the room and the external temperature of the environment is used for the period from 01.01.2016. until 31.12.2023, and a period of 18:00 – 24:00. Regression analysis is used to create a model for increasing energy consumption.

In the following article are presented the technical characteristics of real living space. A temperature model for this particular space was developed based on various experimental data, such as (external and internal) temperature, humidity, atmospheric pressure and energy consumption over seven years – 2016-2022.