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Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating

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Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9266))

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Abstract

Energy efficiency and occupant’s comfort are two primary concerns for evaluating the performance of a building control system. This paper introduces an optimization method based on integration of genetic algorithms for local optimization and agent-based approach for integration of the locally optimal solution into a global solution that is close to the global optimum. The approach is validated on a case study that models a cluster of eight buildings sharing resources of a district heating system.

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Correspondence to Petr Kadera .

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© 2015 Springer International Publishing Switzerland

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Kadera, P., Macaš, M. (2015). Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating. In: Mařík, V., Schirrmann, A., Trentesaux, D., Vrba, P. (eds) Industrial Applications of Holonic and Multi-Agent Systems. HoloMAS 2015. Lecture Notes in Computer Science(), vol 9266. Springer, Cham. https://doi.org/10.1007/978-3-319-22867-9_18

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  • DOI: https://doi.org/10.1007/978-3-319-22867-9_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22866-2

  • Online ISBN: 978-3-319-22867-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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