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G. Zucker, S. Kollmann:
"Autonomous control strategy creation for building energy management";
Talk: IEEE Africon 2017, Cape Town; 2017-09-18 - 2017-09-20; in: "2017 Ieee Africon", (2017), ISBN: 978-1-5386-2775-4; 6 pages.

Building automation and control defines the energy efficiency of a building during its operation phase. Optimization of the underlying control strategies is still mainly done manually. By introducing a cognitive system and providing it with information on the building, its energy systems and the operation goals, this paper shows how to autonomously optimize control strategies for building energy systems. The system architecture consists of the cognitive system, an ontology and a physics simulator that allows to assess the quality of a control strategy. In this paper a first use case for optimization of a ventilation system is presented and the processes in the cognitive system that lead to the creation of control strategies are elaborated.

building energy management; cognitive system; automation and control; energy efficiency

http://dx.doi.org/10.1109/AFRCON.2017.8095526

http://publik.tuwien.ac.at/files/publik_265077.pdf