Institutional buildings slash energy costs with AI-powered consumption prediction
The goal of the study was to develop a tool that can predict how much electricity a building will use based on factors like occupant behavior. The researchers created an Excel template using data from a walkthrough energy audit. They collected information like power ratings and usage times to estimate electricity consumption. The simulator they developed was able to predict energy usage for an institutional site and compared it to actual meter data. By making adjustments, they were able to accurately predict energy consumption for a year. This information can help identify ways to save energy and reduce utility bills.