Author(s)

MinShi Zheng

Affiliation(s)

School of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, Guangxi, China.

Corresponding Author

MinShi Zheng

ABSTRACT

With the development of the times, the types of household appliances are also diversified, and then people's demand for electricity is also growing. So it is worth thinking about whether there is a relationship between the amount of household durable goods and the amount of electricity used. Whether the energy-saving and emission-reduction implemented by the state is carried out by the manufacturers or not, the relationship between the two can also be reflected. In this paper, we focus on Xiangyang, the results show that household electricity consumption is closely related to household appliances. It can be inferred that the total electricity consumption will continue to increase in the next few years, but it will fall slightly each year. It is also a bold bet that when all appliances reach saturation, there may be a negative increase in electricity consumption driven by some policies.

KEYWORDS

Electricity consumption; Principal component analysis; Multiple regression analysis; Energy saving and emission reduction

CITE THIS PAPER

MinShi Zheng. Trend analysis and forecast of household appliance ownership and electricity consumption in Xiangyang. Trends in Social Sciences and Humanities Research. 2024, 2(4): 102-106. DOI: 10.61784/tsshr3017.

REFERENCES

[1] Yang Zhengde. Speed up the energy-saving standardization of household appliances.Standardization in Shanghai, 2004(08): 31-35.

[2] Gu Xinling. Statistical application of factor analysis in durable goods ownership of urban residents. The Journal of Tongling University, 2016, 15(04): 29-33+48.

[3] Liang Huifang, Su Ming, Tian Lei. Is the China's residential electricity consumption mode consistent with the requirements of the new urbanization?—— Empirical study based on the electrical equipment and electricity consumption status of urban households . The Economic Journal, 2014, 1(01): 163-180.

[4] Meng Ming, Zhao Ningning. Analysis of the current situation and influencing factors of residential electricity consumption. Think Tank Era, 2019, (37): 246-247.

[5] Guo Songliang, Yan Pengjun, E Haokun. Short-term prediction of total social electricity consumption in Beijing based on ARIMA model. Journal of Beijing Information Science and Technology University (Natural Science Edition), 2020, 35 (05): 93-96.

[6] Hongyun Han, Radwan Amira. Economic and social structure and electricity consumption in Egypt. Energy, 2021, 231.