Open AccessHurst Index Analysis of Social Electricity Consumption Change Trend Based on R/S Analysis
Author(s) -
Xiaodong Qi,
Hu Sheng
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012150
Subject(s) - electricity , consumption (sociology) , index (typography) , hurst exponent , econometrics , china , economics , time series , energy consumption , similarity (geometry) , environmental economics , statistics , computer science , mathematics , geography , engineering , social science , sociology , archaeology , artificial intelligence , world wide web , electrical engineering , image (mathematics)
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.