The data provide the energy output for several months from two roof-top solar arrays in San Francisco. This city is known for having highly variable weather, so while these two arrays are only about 1 mile apart from each other, the Inner Sunset location tends to have more fog.
Format
A data frame with 284 observations on the following 3 variables. Each row represents a single day for one of the arrays.
- location
Location for the array.
- date
Date.
- kwh
Number of kWh
Details
The Haight-Ashbury array is a 10.4 kWh array, while the Inner Sunset array is a 2.8 kWh array. The kWh units represents kilowatt-hours, which is the unit of energy that typically is used for electricity bills. The cost per kWh in San Francisco was about $0.25 in 2016.
Examples
solar.is <- subset(solar, location == "Inner_Sunset")
solar.ha <- subset(solar, location == "Haight_Ashbury")
plot(solar.is$date, solar.is$kwh, type = "l", ylim = c(0, max(solar$kwh)))
lines(solar.ha$date, solar.ha$kwh, col = 4)
d <- merge(solar.ha, solar.is, by = "date")
plot(d$date, d$kwh.x / d$kwh.y, type = "l")
