Hurst Index Analysis of Social Electricity Consumption Change Trend Based on R/S Analysis. Issue 1 (February 2020)

• Record Type: Journal Article
• Authors: Qi, Xiaodong; Sheng, Hu
• Is Part Of: IOP conference series. Volume 750:Issue 1(2020)
• Publication Date: 2020-02
• Subjects: Hurst index -- R/S analysis method -- electricity consumption; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/750/1/012150
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: With the rapid development of China's electricity industry, the electricity consumption is also changing with a certain trend. Therefore, it is necessary to study the trend of the power consumption statistics for the whole society in China. In this research, according to 2016-2017 electricity consumption data of China Energy journal and Zhejiang electric power journal is analyzed by R/S analysis method. Hurst indexes are estimated to study the self-similarity properties in different times. The results show that the R/S analysis method can effectively analyze the time series data of electricity consumption, and the calculated Hurst index can better reflect the self-similarity trend of the electricity consumption of the whole society in the future.