文章基本信息

标题：A Hybrid Fuzzy Regression - SSA Approach for Electricity Consumption Optimisation
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作者：Hannan Amoozad, Mahdiraji ; Moein, Beheshti ; Seyed Hossein, Razavi Hajiagha 等
期刊名称：ECONOMICS AND MANAGEMENT
印刷版ISSN：1822-6515
出版年度：2019
卷号：30
期号：2
页码：151-162
DOI：10.5755/j01.ee.30.2.21001
出版社：Kaunas University of Technology
摘要：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.
关键词：Singular Spectrum Analysis;Electrical Demand;Electrical Consumption;Fuzzy Regression;Prediction
其他关键词：Singular Spectrum Analysis;Electrical Demand;Electrical Consumption;Fuzzy Regression;Prediction