The COVID-19 pandemic impacted several sectors of the economy, including the Brazilian electricity sector. The change in energy consumption behavior during the pandemic was the motivation to conduct a study of application of statistical models in order to quantify the impact on energy consumption and understand its relationship with restrictive measures imposed by the government. In this way, the forecast of electricity consumption during the year 2020 was realized by considering two specific scenarios, the actual pandemic scenario that we had for the year in question and a non-pandemic scenario whose associated data was predicted using forecasting, to compare the differences in energy consumption between them. The study used electricity consumption data in Brazil extracted from the EPE (Energy Research Company) to find the counterfactual scenario data, through the forecast of the time series for the year 2020 using exponential smoothing and hierarchical and grouped series in order to assist in the data analysis, two indexes published by the Oxford COVID-19 Government Response Tracker were used, the stringency index and the risk of opening the economy. Finally, the correlations between the percentage difference in consumption and each of the indexes were studied in order to analyze whether the impact found on energy consumption was related to the pandemic and the restrictive measures imposed by the government.