ResidentialEnergyConsumption (version 1.1.0)

weather_data: Weather data from one measuring station.

Description

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.

Usage

weather_data

Format

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<U+2013>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

Details

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/)

References

NOAA National Centers for Environmental Information (2020)

Examples

# NOT RUN {
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)

# }