Research Article
Compositional fuzzy modeling of energy- and resource saving in socio-technical systems
@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
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.
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.
