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Multicriteria optimization of smart buildings using evolutionary algorithm

Nejc Ambrožič (2015) Multicriteria optimization of smart buildings using evolutionary algorithm. EngD thesis.

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    Energy efficiency of residential buildings is crucial to the global reduction of electricity consumption, as energy demand, in line with technological development and the increased availability of technology, is increasing. To optimize the functioning of smart buildings, an evolutionary algorithm that takes into account the criteria of energy efficiency and comfort of the user, is presented and developed. Instead of a single solution, it is possible to find a Pareto optimal front, consisting of trade-off solutions. By simulating different test scenarios we show that the algorithm finds trade-off solutions based on the initial schedule set by the user. The obtained solutions sacrifice comfort, but are more cost-effective.

    Item Type: Thesis (EngD thesis)
    Keywords: smart house, multicriteria optimization, evolutionary algorithm, Pareto optimality
    Number of Pages: 53
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    izr. prof. dr. Marko Robnik Šikonja276Mentor
    prof. dr. Bogdan Filipič1116Comentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536551107)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3126
    Date Deposited: 16 Sep 2015 13:59
    Last Modified: 12 Oct 2015 13:15
    URI: http://eprints.fri.uni-lj.si/id/eprint/3126

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