weather_data: Weather data from one measuring station.
In ResidentialEnergyConsumption: Residential Energy Consumption Data

Description Usage Format Details References Examples

Weather data from a weather station in a central location of the study region. The data contains hourly measurements over a period of ten weeks, similar to the time span of the dataset *elcons_15min*. Weather data are averaged across all available weather stations in the study area for each unit of time.

1	weather_data

A data frame with the following of variables:

DATE_CET: The date and time of the weather observation in Central European Time
WEEK: Week of the year as decimal number (00–53) using Monday as the first day of week
WIND_DIRECTION: Wind direction in compass degrees. *NA* when air is calm (no wind speed)
CLOUD_CEILING: Lowest opaque layer with 5/8 or greater coverage
SKY_COVER: Sky cover: CLR-clear, SCT-scattered (1/8 to 4/8), BKN-broken (5/8 to 7/8), OVC-overcast, OBS-obscured, POB-partial obscuration
VISIBILITY: Visibilityin statute miles (rounded to nearest tenth)
TEMP: Temperature measured in fahrenheit
SEA_LEVEL_PRESSURE: Sea level pressure measured in millibars (rounded to nearest tenth)
STATION_PRESSURE: Station pressure measured in millibars (rounded to nearest tenth)
PCP01: 1-hour liquid precip reportin inches and hundredths, that is, the precip for the preceding 1-hour period
WIND_SPEED: Wind speed in miles per hour

This data cannot be used or redistributed for commercial purposes. Re-distribution of these data by others must provide this same notification. (see https://www.ncdc.noaa.gov/)

NOAA National Centers for Environmental Information (2020)

data(elcons_15min, weather_data)

#transform 15-minute electricity measurements to hourly consumption values
hourly_cons <- colSums(matrix(t(elcons_15min$w44[1,2:673]), nrow=4))

#select temperature observations for week 44
hourly_temp <- weather_data[weather_data$WEEK==44,"TEMP"]

#compute correlation
cor(hourly_cons, hourly_temp)