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

Journal Title: EAI Endorsed Transactions on Energy Web - Year 2019, Vol 6, Issue 21

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.

Authors and Affiliations

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

Keywords

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  • EP ID EP45417
  • DOI http://dx.doi.org/10.4108/eai.12-9-2018.155863
  • Views 270
  • Downloads 0

How To Cite

A. V. Bobryakov, V. V. Borisov, A. I. Gavrilov, E. A. Tikhonova (2019). Compositional fuzzy modeling of energy- and resource saving in socio-technical systems. EAI Endorsed Transactions on Energy Web, 6(21), -. https://europub.co.uk./articles/-A-45417