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The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?

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Abstract

Global warming leads to the problem of climate adaptability, which makes residents’ electricity consumption behavior more sensitive to temperature. Understanding the shape of the temperature–electricity consumption response curve helps plan power investment and production and facilitates a green and low-carbon transformation of the power system. Using data regarding electricity consumption in nearly 20,000 households from seven cities in Anhui Province, China, from 2016 to 2017, this study examined the response of residential electricity consumption to temperature. The results show that there is a positive effect of the heating degree day (HDD) and cooling degree day (CDD) on residential electricity consumption. In particular, under the possible influence of the electricity price and weather factor, the electricity-temperature response curve has a “V”-shape when the average temperature is over 30 °C, and an extra day above 34 °C will increase monthly residential electricity consumption by 2.70%. The heterogeneity analysis shows that the temperature and electricity response curve have strong fluctuations under the time-of-use (TOU) pricing policy change. This implies that the price policy helps regulate the power consumption temperature response curve and thus impacts the power load.

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Data Availability

The datasets generated during this study are available from the corresponding author on reasonable request.

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Funding

This research was funded by the National Natural Science Foundation of China (No. 72174052).

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Authors and Affiliations

  1. School of Management, Hefei University of Technology, Hefei, 230009, China

    Lanlan Li, Xinpei Song, Jingjing Li & Jianling Jiao

  2. Key Laboratory of Process Optimization and Intelligent Decision-Making, Hefei University of Technology), Hefei, 230009, China

    Lanlan Li, Jingjing Li & Jianling Jiao

  3. Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education of China), Key Laboratory of Applied Statistics and Data Science, School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, Hunan, China

    Ke Li

  4. Hunan Institute for Carbon Peaking and Carbon Neutrality, Changsha, 410081, Hunan, China

    Ke Li

Authors
  1. Lanlan Li
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  2. Xinpei Song
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Correspondence to Jingjing Li.

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Appendix

Appendix

Please see Table

Table 6 The influence of temperature on electricity consumption across different samples using the temperature bins as temperature variables
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6,

Table 7 Coefficient results of the further discussion by subdividing the temperature column
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7, and

Table 8 Heterogeneity of the electricity consumption temperature response tested for TOU and non-TOU users using temperature bins as a temperature variable
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8.

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Li, L., Song, X., Li, J. et al. The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?. Climatic Change 176, 26 (2023). https://doi.org/10.1007/s10584-023-03500-9

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