Building automation systems, such as KNX, enable the acquisition and storage of device parameters, facilitating comprehensive measurement data collection. They combine various sensors, including PIR sensors for presence detection, with newer technologies such as high-frequency sensors, ultrasonic sensors and vision sensors equipped with artificial neural networks to enhance detection capabilities. These systems also use data archiving devices for comprehensive analysis, leading to insights into health, energy consumption and device performance. The analysis of electrical parameters enabled by KNX systems involves measuring the energy consumption of devices and then classifying them using artificial neural networks to optimize computational efficiency and improve identification accuracy.