The article presents a method to predict when rooms will be occupied in buildings using a type of artificial intelligence called LSTM. By knowing when rooms will be used, the heating and cooling systems can be turned on and off at the right times, saving energy without sacrificing comfort. The researchers tested their approach in a university building and found that it could reduce energy usage by 50% compared to traditional control methods.