As part of the Building Technology Accelerator, the HEM project develops a multilayered energy consumption prediction tool that has a high resolution in time (e.g. explaining the origin of peaks) and in space (e.g. explaining the impact of local activities). Living lab setups, behaviour studies, and technology surveys guide this development. Some of the HEM components are: Metering (indoor/outdoor conditions, building technologies and material performance), Behaviour recognition (interaction of users with energy consuming building technologies) as basis for energy demand prediction, Appliance integration (internet of things), Surveys (user feedback data), which generates a knowledge database regarding energy consumption and awareness of saving potentials, and Prediction, which aims for close, mid-term, and long-term behaviour related energy demand.
The project is closed: 31/12/2016