A Hybrid Fuzzy Regression - SSA Approach for Electricity Consumption Optimisation

Hannan Amoozad Mahdiraji, Moein Beheshti, Seyyed Hossein Razavi Hajiagha, Zenonas Turskis

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Abstract

The prominent effect of electricity in nowadays life and relevancy of all of the appliances recently used to this phenomenon has been largely taken for granted. Nonetheless, governments lack the ability to even the production rate to consumption. Countries have developed numerous frameworks to control and improve the urban and industrial electrical consumption. The population growth and consumer culture are forcing governments to raise the price; however, it seems an inefficient method to control the increase of general public's tendency to control their consuming behaviour. This paper discusses the main criterion affecting the electrical consumption and based on those factors the singular spectrum analysis is implemented to predict the utilization. Furthermore, a fuzzy regression model is depicted to optimise the function. The optimisation results demonstrate significant decrease compared with SSA forecasting method, indicating the efficiency of the proposed method. Eventually, the results conspicuously suggest that attention to construction method and usage culture improvements are the first priority to decrease the radical electrical consumption in Iran and become more optimistic for managing electrical network more probably.
Original languageEnglish
Article number30
Pages (from-to)151-162
Number of pages11
JournalInzinerine Ekonomika-Engineering Economics
Volume30
Issue number2
DOIs
Publication statusPublished - 29 Apr 2019
Externally publishedYes

Bibliographical note

Publisher permits distribution for non-commercial purposes. Inžinerinė Ekonomika-Engineering Economics must be acknowledged as the source of information.

Keywords

  • Singular Spectrum Analysis
  • Electrical Demand
  • Electrical Energy Consumption
  • Fuzzy Regression
  • Prediction

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