PV generation was simulated by Dr. Rory Telford from the University of Strathclyde. PV generation at each households was simulated at half-hourly time resolution based on an open-source PV model https://pvpmc.sandia.gov/applications/pv_lib-toolbox/ combined with global horizontal irradiance (GHI) weather data https://e3p.jrc.ec.europa.eu/articles/typical-meteorological-year-tmy.

pvSample

Format

A dataframe with 4416 rows and 48 variables:

date

(character) Date of the PV generations with the form 'yyyy-mm-dd'.

time

(character) Timestamps was recorded. Ranges from 00:00:00 to 23:30:00.

year

(integer) The year was recorded.

month

(character) The month was recorded. These months are March, April and May.

mdate

(character) Denote the date and month with the form 'dd-mm'.

week

(character) The day-of-the-week was recorded. Ranges from 'Monday' to 'Sunday'.

7-48

(numeric) PV generation profiles (in kW) of each household at the given time.

Source

Provided by the project "Analytical Middleware for Informed Distribution Networks (AMIDiNe)" (EPSRC Reference: EP/S030131/1).

Examples

head(pvSample[,1:10])
#> date time year month mdate week X1 X2 X3 #> 1489 2009-04-01 00:00:00 2009 April 01-04 Wednesday -0.00091 -2e-04 -0.0041 #> 1490 2009-04-01 00:30:00 2009 April 01-04 Wednesday -0.00091 -2e-04 -0.0041 #> 1491 2009-04-01 01:00:00 2009 April 01-04 Wednesday -0.00091 -2e-04 -0.0041 #> 1492 2009-04-01 01:30:00 2009 April 01-04 Wednesday -0.00091 -2e-04 -0.0041 #> 1493 2009-04-01 02:00:00 2009 April 01-04 Wednesday -0.00091 -2e-04 -0.0041 #> 1494 2009-04-01 02:30:00 2009 April 01-04 Wednesday -0.00091 -2e-04 -0.0041 #> X4 #> 1489 -0.0041 #> 1490 -0.0041 #> 1491 -0.0041 #> 1492 -0.0041 #> 1493 -0.0041 #> 1494 -0.0041