Analysis of the Impact of the COVID-19 Pandemic on the Value of CO2 Emissions from Electricity Generation

The study analyzed the impact of COVID-19 pandemic on carbon dioxide emissions from electricity generation. Additionally, monthly seasonality was taken into account. It assumed (research hypothesis) that both (expressed in individual waves infection cases) and month have a significant CO2 emissions. Analysis variance (ANOVA) non-parametric Kruskal–Wallis tests were used to evaluate significance influence explanatory variables emission. identification studied series (CO2 emission) first made by means linear regression model with binary then ARMAX model. analysis shows consecutive months periods pandemic, differ significantly. highest increase recorded for second wave as well January February. This is due overlapping infections (favoring stays at home) winter season. can be concluded working plants, schools factories had same demand electricity, but sources increased consumption people staying home hospitals result deteriorated health, isolation or quarantine.