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The Fuzzy Logic Predictive Model for Remote Increasing Energy Efficiency

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Abstract

Currently, the use of natural gas is the most common way of heating buildings in Slovakia. For this reason, it is important to deal with the search for different models aimed at optimal use. This paper aims to use a fuzzy approach in remote designing a computer model using Matlab and verify the use of the model to predict future average natural gas consumption. The model's design is based on an initial analysis of historical data on natural gas consumption in a selected non-residential building for the period of four years, 2017—2020. The data obtained through the user interface contains selected parameters that will be used to design the fuzzy model. When designing a fuzzy model, three inputs are considered: outdoor temperature, individual months of the year, and dayparts. This model will be created in the Fuzzy Logic Toolbox environment of the Matlab application.

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Funding

This paper is part of a project that has received funding from the European Union ́s Horizon 2020 research and innovation programme under grant agreement No.723274.

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Authors and Affiliations

  1. Faculty of Manufacturing Technologies With a Seat in Prešov, Department of Industrial Engineering and Informatics, The Technical University of Košice, Bayerova 1, 080 01, Prešov, Slovak Republic

    Stella Hrehová, Jozef Husár & Lucia Knapčíková

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  1. Stella Hrehová
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  2. Jozef Husár
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  3. Lucia Knapčíková
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Correspondence to Stella Hrehová or Jozef Husár.

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Hrehová, S., Husár, J. & Knapčíková, L. The Fuzzy Logic Predictive Model for Remote Increasing Energy Efficiency. Mobile Netw Appl (2022). https://doi.org/10.1007/s11036-022-02050-1

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