A Hybrid Fuzzy Regression - SSA Approach for Electricity Consumption Optimisation

  • Mahdiraji Hannan Amoozad University of Tehran, Tehran
  • Beheshti Moein University of Tehran, Kish International Campus, Kish
  • Razavi Hajiagha Seyed Hossein Khatam University, Tehran
  • Zenonas Turskis Vilnius Gediminas Technical University
Keywords: Singular Spectrum Analysis, Electrical Demand, Electrical Consumption, Fuzzy Regression, Prediction


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.

DOI: http://dx.doi.org/10.5755/j01.ee.30.2.21001

Author Biographies

Mahdiraji Hannan Amoozad, University of Tehran, Tehran

Assitant Professor, Faculty of Management

Beheshti Moein, University of Tehran, Kish International Campus, Kish
MBA, Department of Management
Razavi Hajiagha Seyed Hossein, Khatam University, Tehran

Assitant Professor, Department of Management

Zenonas Turskis, Vilnius Gediminas Technical University

Institute of Sustainable Construction,