Using the function we adjust values for 2020 according to the temperature differential with respect to 2019 and then calculate ratios based on this adjusted value. The fitted function (red line) is used for temperature adjustment. The scatter graph represents average daily load across peak hours for the years 2016-2019 plotted against the respective temperature. This can be represented with a figure like the example provided below for Tokyo. We build a model using temperature and average load data from each country/region across the years 2016 - 2019. To do this, we use a polynomial function to estimate the relationship between electricity load and temperature for each country or region considered. We therefore adjust average peak values from each year by the temperature differential. In particular countries, a significant share of space and water heating/cooling is electric and one would expect significant fluctuations depending on daily temperatures. Temperature is perhaps the most important. Other underlying factors influence demand, in addition to COVID-19. Figure 2 shows the daily evolution of electricity demand for individual countries. We also computed daily temperature-adjusted averages. The user is free to interact with the table below, adding and comparing whichever regions are prefered. Our interactive global electricity tracker allows visualisation of weekly averages across all the countries and regions for which we report data. To compute the displayed percentages, we divide temperature-adjusted average actual total load (electricity consumption) between 08:00-18:00 by value from the corresponding week in 2019. All data is adjusted for temperature differences between the two years (see below for methodology). Week 1 is 2-6 March 2020, compared to 4-8 March 2019, and so forth (Table 1). Each week in 2020 is compared with the corresponding week in 2019. We consider only working days, ignoring weekends and removing any public holidays from the sample. We focus on peak-hour consumption (08:00-18:00) because this is when most economic activity would normally take place.
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