Compositional fuzzy modeling of energy- and resource saving in socio-technical systems

A. Bobryakov; V. Borisov; A. Gavrilov; E. Tikhonova

Research Article

Compositional fuzzy modeling of energy- and resource saving in socio-technical systems

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@ARTICLE{10.4108/eai.12-9-2018.155863,
    author={A. V. Bobryakov and V. V. Borisov and A. I. Gavrilov and E. A. Tikhonova},
    title={Compositional fuzzy modeling of energy- and resource saving in socio-technical systems},
    journal={EAI Endorsed Transactions on Energy Web},
    volume={6},
    number={21},
    publisher={EAI},
    journal_a={EW},
    year={2018},
    month={10},
    keywords={energy- and resource savings; socio-technical system; rules-based fuzzy model; fuzzy cognitive model},
    doi={10.4108/eai.12-9-2018.155863}
}

A. V. Bobryakov
V. V. Borisov
A. I. Gavrilov
E. A. Tikhonova
Year: 2018
Compositional fuzzy modeling of energy- and resource saving in socio-technical systems
EW
EAI
DOI: 10.4108/eai.12-9-2018.155863

A. V. Bobryakov¹^,*, V. V. Borisov¹, A. I. Gavrilov², E. A. Tikhonova¹

1: National Research University “Moscow Power Engineering Institute”
2: The Branch of National Research University “Moscow Power Engineering Institute” in Smolensk

*Contact email: avbob@mail.ru

Abstract

The paper poses the problem of increasing the efficiency of energy- and resource saving in socio-technical systems, which consist of resource-intensive subsystems (for example, subsystems of electricity, heat and water supply). A compositional fuzzy model for efficiency estimating of energy- and resource saving of socio-technical systems is proposed. This compositional fuzzy model consists of the following models: firstly, a set of fuzzy cognitive models for estimating the effects of actions on the subsystems’ indicators; secondly, a set of fuzzy rules-based models for efficiency estimating of energy- and resource saving of subsystems; thirdly, a generalized fuzzy model for efficiency estimating of energy- and resource saving of system as a whole. The procedure of compositional fuzzy modeling of energy- and resource saving in socio-technical systems is described.

Keywords: energy- and resource savings; socio-technical system; rules-based fuzzy model; fuzzy cognitive model

Received: 2018-05-30
Accepted: 2018-10-14
Published: 2018-10-25
Publisher: EAI

: http://dx.doi.org/10.4108/eai.12-9-2018.155863

Copyright © 2018 A.V. Bobryakov et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.