Study of Household Energy Consumption Pattern Due to Usage of Electronic Gadgets Before and During Pandemic

Abstract

One key aspect of green computing is reducing greenhouse gas (GHG) emissions, which are gases that trap heat in the earth's atmosphere and contribute to global warming and climate change. COVID-19 has introduced significant challenges to the energy industry. Potentially new practices and social forms developed during the pandemic have created an impact on energy demand and consumption. As there is an adverse effect on the global environment, it is time to improve the working habits of computer and business users. The aim of this study is to show the increased household energy consumption during the COVID-19 pandemic due to the rapid rise in the purchase and usage of electronic gadgets in Indian households. Due to the widespread adoption of the "work from home" mentality by businesses even after the epidemic, it has been noted that this has persisted. The study utilized the non-experimental quantitative research design specifically, the survey method which employs a descriptive questionnaire to the respondents. Information was gathered through a survey of 101 families in the Indian state of Maharashtra's three districts, Mumbai, Thane, and Palghar. A supervised machine learning model called regression analysis is used to verify the predictions. Investigation reveals that energy consumption is not only dependent on age, area, number of people, and number of gadgets owned by people but on various other factors.