Electricity consumption of Singaporean households reveals proactive community response to COVID-19 progression
The file below contains the codes that were used to generate the results in the paper "Electricity consumption of Singaporean households reveals proactive community response to COVID-19 progression" [1].
Data File
The data file 'Code_Singaporean_COVID19_response.zip' contains the following information.
The following MATLAB scripts are presented:
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Preprocessing_weather_data: Pre-process the weather data.
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Classify_households: Classify the 10,246 households by dwelling type.
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Load_data: Load the required data for analysis.
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Correlations: Determine the correlations between the COVID-19 case data in Singapore and the peak aggregate electricity demand.
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VEC_model: Analyse the VEC model for various time periods, for the aggregate demand of the 10,246 households.
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Rolling_window_VEC_model: Perform a rolling-window analysis of the VEC model for the aggregate demand of the 10,246 households.
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Rolling_window_VEC_model_classwise: Perform a rolling-window analysis of the VEC model for the aggregate demand of different dwelling types.
In addition, the daily new and recovered COVID-19 cases reported in Singapore and used in the study are presented in Covid_cases_Singapore.xlsx.
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The electricity consumption data used in this study are obtained with approval from the Energy Market Authority, Ministry of Trade and Industry Singapore; contact ema_enquiry@ema.gov.sg for access.
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The weather data used in this study were obtained from Meteoblue [2].
References
[1] Gururaghav Raman and Jimmy Chih-Hsien Peng, "Electricity consumption of Singaporean households reveals proactive community response to COVID-19 progression", Proceedings of the National Academy of Sciences, vol. 118, no. 34, pp. e2026596118, 2021. https://doi.org/10.1073/pnas.2026596118
[2] Meteoblue, https://www.meteoblue.com/en/weather/week/singapore_singapore_1880252 .