The article explores how data-driven methods can help understand and predict building energy consumption and occupant behavior. By analyzing energy data and using mathematical models, researchers found that occupants' actions, like using appliances and opening windows, significantly impact a building's energy use. They also developed prediction models that consider occupancy to better forecast electricity consumption. These findings offer a new way for engineers and building operators to improve building performance by taking into account occupant behaviors.