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

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

doi:10.4108/eai.12-9-2018.155863

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

Authors

A. V. Bobryakov Moscow Power Engineering Institute
V. V. Borisov Moscow Power Engineering Institute
A. I. Gavrilov Moscow Power Engineering Institute” in Smolensk
E. A. Tikhonova Moscow Power Engineering Institute

DOI:

https://doi.org/10.4108/eai.12-9-2018.155863

Keywords:

energy- and resource savings, socio-technical system, rules-based fuzzy model, fuzzy cognitive model

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.

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Published

25-10-2018

How to Cite

Bobryakov AV, Borisov VV, Gavrilov AI, Tikhonova EA. Compositional fuzzy modeling of energy- and resource saving in socio-technical systems. EAI Endorsed Trans Energy Web [Internet]. 2018 Oct. 25 [cited 2024 Nov. 16];6(21):e9. Available from: https://publications.eai.eu/index.php/ew/article/view/946

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Issue

Vol. 6 No. 21 (2019): EAI Endorsed Transactions on Energy Web

Section

Research articles

License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.