The article discusses a new method to predict how many people will be in a building the next day using WiFi signals. By combining linear regression and artificial neural networks, the model can forecast occupancy with 90% accuracy using only two days of data. This approach helps save energy and improve comfort in commercial buildings by allowing better control based on expected occupancy levels.