Hospitals are among the most energy-intensive buildings in the service industry. The development of energy management strategies could lead to important energy savings, and it must pass through detailed analyses of each specific activity energy requirement. The present study aims to find the main energy drivers of a healthcare facility and to develop an offline monitoring method appliable to future healthcare energy requirements. A Multiple Linear Regression model has been realized to define the standard energy consumption based on the year 2019, allowing to realize a Cumulative Sum of differences control chart including the 2020 energy consumption data. The proposed method allows to find variations between actual and standard building energy demands, being a useful tool to monitor the effectiveness of energy system control strategies
