S5.Weather.solcast_historic

Script to compile Weather Files from Solcast.

Requires the CSVs from SolCast and a “road file” with columns [‘Distance (km)’, ‘Latitude’, ‘Longitude’] to maps the CSVs to distances along the route. The Road file can have extra points but each CSV file have to have a point specified in the Road file or else a warning will be raised and the row that does not have data in the road file will be omitted.

The Solcast historic CSVs should be named in the format of {lat}_{lon}_Solcast_{sample_mode}.csv

Examples

>>> ROAD_FILE = r'Road-SolCast-10km.dat'
>>> CSV_LOC = '.'
>>> tz = pytz.timezone('Australia/Darwin')
>>> START_DATE = datetime.datetime(2019, 10, 13, 0, 0)
>>> END_DATE = datetime.datetime(2019, 10, 20, 23, 0)
>>> START_DATE = tz.localize(START_DATE)
>>> END_DATE = tz.localize(END_DATE)
>>> main(START_DATE, END_DATE, ROAD_FILE, CSV_LOC)

Functions

get_file_list(csv_location)	Get the list of Solcast historic CSVs in the folder.
main(start_date, end_date, RoadFile, ...[, ...])	Creates a SolarSim weather file from solcast historic CSVs.
map_files(RoadFile, files)	Maps CSVs to distance along the route.
read_solcast_csv(filename, distance, ...)	Reads the solcast csv for a single spot.