REGRESSION ANALYSIS OF HOUSEHOLDS' ELECTRICITY CONSUMPTION BASED ON AIR POLLUTION AND METEOROLOGICAL PARAMETERS
Mirza Pasic,
Zedina Lavic
Abstract: This research investigates the complex relationship between households' electricity consumption and a range of environmental factors, such as air pollution and meteorological parameters. Data regarding air pollutants PM 10 [μg/m^3 ], and NO2 [μg/m^3 ], as well as meteorological parameters temperature [°C] elative humidity [%], and atmospheric pressure [hPa] were collected from the Federal Hydrometeorological Institute of Bosnia and Herzegovina, while data related to electricity consumption were obtained from the Public Enterprise Elektroprivreda BiH d.d. - Sarajevo. Measurements and data collection were done for a period of time from January 2020 until March 2022 allowing for seasonal variations to be taken into account. The research findings reveal strong negative correlation of households' electricity consumption with temperature, moderate positive correlation with PM10 and NO2 as well as weak positive correlation with relative humidity and very weak positive correlation with pressure. Linear regression model developed in this research showed that temperature, humidity and concentration of air pollutant PM10 were significant variables and had impact on households' electricity consumption. The results of this research provide valuable insights into the complex dynamics between households' electricity consumption and environmental factors, and can help policymakers, electricity providers as well as households to develop better ways to save energy and develop better electricity consumption strategies.
Keywords: electricity consumption, households, air pollution, meteorological parameters, regression
DOI: 10.24874/IJQR18.03-20
Recieved: 23.10.2023 Accepted: 01.03.2024 UDC: 351.777.6
Reads: 134 
