12.2 Median-Weeks

12.2.1 Goal

Create an energy consumption heat map of a median week depending on the season of the year:

Figure 12.3: Heat Map of Median Weeks per Season of Year

12.2.2 Data Basis

Daily energy consumption values of one whole year in an interval of 15mins.

Figure 12.4: Raw Data for Decomposition Plot Short Term

12.2.3 Solution

Create a new script, copy/paste the following code and run it:

library(redutils)
library(plotly)

data <- readRDS(system.file("sampleData/eboBookEleMeter.rds", package = "redutils"))
plot <- plotHeatmapMedianWeeks(data, locTimeZone = "Europe/Zurich")

# show the static plot
plot

# create the interactive plot (optional, uncomment line)
#ggplotly(plot)

# save static plot as png (optional)
ggsave("images/plotHeatMapMedianWeeks.png", plot)

12.2.4 Discussion

Some findings:

• Increased consumption at midnight, but not visible in Summer, probably heating affected

• Clearly less consumption at weekends, starting already friday afternoon

• High peaks on Tuesdays and Thursdays in summer