THEORETICAL PROBLEMS IN INNOVATIONS

Prediction of consumed electricity in residential spaces

  • 1 Vasil Levski National Military University, Veliko Tarnovo, Bulgaria

Abstract

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.

Keywords

References

  1. Stoyanov, Y., Temperature model of a living space, ISJ, vol.7, issue 1, pp. 30-33, https://stumejournals.com/journals/mm/2023/1/30, 2023
  2. https://www.tfa-dostmann.de/ as of 08.04.2023.
  3. https://www.emyloworld.com/ as of 15.05.2024.
  4. Ordinance № RD-07-3/18.07.2014.
  5. MatLab – https://www.mathworks.com/ / as of 12.04.2024.
  6. Orange - https://orangedatamining.com/ as of 17.04.2024.
  7. https://www.dnt.de/ as of 08.04.2023.
  8. https://www.ashrae.org/ as of 08.04.2023.

Article full text

Download PDF