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Talks and Poster Presentations (with Proceedings-Entry):

D. Schachinger, W. Kastner:
"Ontology-based generation of optimization problems for building energy management";
Talk: 22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA 2017), Limassol, Cyprus; 2017-09-12 - 2017-09-15; in: "Proceedings of the 22nd IEEE International Conference on Emerging Technologies And Factory Automation", IEEE, (2017), 8 pages.



English abstract:
In general, a trade-off between comfort satisfaction and minimization of energy consumption or overall costs needs to be found by building energy management systems. Additionally, the design of energy management strategies often requires high effort and expert knowledge in order to model the dynamics within a building, which leads to very specific solutions with limited reuse. Thus, this work presents an approach for the automatic generation of optimization problems for building energy management based on machine-readable semantics. For this purpose, an ontology hosts all relevant information necessary for the optimization problem formulation. Information extraction and transformation into the optimization problem domain are addressed. Moreover, a case study demonstrates the functionality of the proposed procedure.

Keywords:
Building automation, energy management, energy efficiency, optimization, ontology, semantics


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ETFA.2017.8247565



Related Projects:
Project Head Wolfgang Kastner:
Building Profiling for Energy Management