Khosravi, MohammadMohammadKhosraviEichler, AnnikaAnnikaEichlerSmith, Roy S.Roy S.Smith2022-06-022022-06-022017-09Energy Procedia 122: 1021-1026 (2017)http://hdl.handle.net/11420/12785With an increasing share of renewable energy sources, largely decentralized, energy hubs are gaining relevance in the energy landscape as promising solutions because they match local production with consumption. To efficiently control an energy hub a prediction of the energy consumption of the buildings in the hub is required. This work proposes an on-line identification scheme to identify the closed-loop behavior of buildings as they are usually under unknown local lower-level control. Since buildings are typically controlled in different modes depending on the time of day (night setback), an identification of a switched system is proposed, combining a classification step to identify the switching times followed by the identification of a piecewise linear model for each mode. As a test case an operational Swiss office building is considered.enclassificationEnergy Hubsenergy managementidentificationpiece-wise linear regressionswitched systemsInformatikConference Paper10.1016/j.egypro.2017.07.469Other