Over the last fifty years, societies across the world have experienced multiple periods of energy insufficiency, with the most recent one being the 2022 global energy crisis. This is occurring simultaneously with a significant increase in the number of connected devices, in particular, with the introduction of plug-and-play Internet of Things (IoT) and smart home devices. Newly introduced devices are equipped with sensors and actuators; they can collect a large amount of data that could be analysed to help in overall energy reduction. However, these environments are complex because of the amount of collected data and the interactions between the devices. Therefore, before being able to manage energy in such environments, three questions come to mind: • How can we determine the power consumption of each device without connecting it to a wattmeter? • How can we represent this complex environment in a way that is understandable and usable by both humans and machines? • What actions should we take for each device in order to reduce its power consumption?