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Reinforcement learning for energy conservation and comfort in buildings

Dalamagkidis, K, Kolokotsa Dionysia, Kalaitzakis Kostas, Stavrakakis Georgios

Πλήρης Εγγραφή

URI: http://purl.tuc.gr/dl/dias/3A1ED7FF-0347-4DA3-BA5B-DC6D77C28AED
Έτος 2007
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά K. Dalamagkidis, D. Kolokotsa, K. Kalaitzakis, and G.S. Stavrakakis, "Reinforcement learning for energy conservation and comfort in buildings," Building and Environment, vol. 42, no. 7, pp. 2686–2698, Jul. 2007. doi:10.1016/j.buildenv.2006.07.010 https://doi.org/10.1016/j.buildenv.2006.07.010
Εμφανίζεται στις Συλλογές
Δημοσιεύσεις σε Περιοδικά στην Κοινότητα Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών

Περίληψη

This paper deals with the issue of achieving comfort in buildings with minimal energy consumption. Specifically a reinforcement learning controller is developed and simulated using the Matlab/Simulink environment. The reinforcement learning signal used is a function of the thermal comfort of the building occupants, the indoor air quality and the energy consumption. This controller is then compared with a traditional on/off controller, as well as a Fuzzy-PD controller. The results show that, even after a couple of simulated years of training, the reinforcement learning controller has equivalent or better performance when compared to the other controllers.

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