Effects of Lockdown on Electricity Demand Patterns of Institutional Buildings

In this paper, we analyze electricity consumption dynamics in institutional buildings, focusing on a university building in the Paris Region, France. Leveraging Dynamic Linear Modeling (DLM), we investigate temporal patterns and factors influencing electricity usage, including trends, yearly and weekly seasonality, and external variables. Our methodology, applied to field data collected over several years at a sub-hourly time step, enables accurate representation and prediction of consumption behaviors. Results highlight a discernible decrease in electricity consumption during COVID-19 lockdown periods, with reductions averaging 13.9 % during the initial lockdown and 6.1 % and 5.3% during subsequent phases. Variations in lockdown severity influence consumption patterns, emphasizing the building's electricity demand response to external shocks and the importance of adaptive energy management strategies. These findings contribute to understanding energy dynamics in institutional buildings and inform strategies for enhancing building energy performance and sustainability, benefiting from field data collected and provided by advanced energy metering infrastructure.