Description
It might be useful to add a pvlib.iotools parser for the NREL MIDC sites, particularly for the 1 minute data from sites that are currently active.
I've copied/pasted code similar to this more times than I'd care to admit:
url = 'http://midcdmz.nrel.gov/apps/plot.pl?site=UAT&start=20101103&edy=2&emo=4&eyr=2018&year=2016&month=1&day=1&endyear=2017&endmonth=12&endday=31&time=23:59&inst=4&inst=5&inst=6&inst=7&inst=9&type=data&first=3&math=0&second=-1&value=0.0&user=0&axis=1'
weather = pd.read_csv(url)
datetime = weather['DATE (MM/DD/YYYY)'] + weather['MST']
datetime = pd.to_datetime(datetime, format='%m/%d/%Y%H:%M')
weather = weather.set_index(datetime)
weather = weather.tz_localize('America/Phoenix')
weather = weather.rename(columns={'Global Horiz (platform) [W/m^2]': 'ghi',
'Direct Normal [W/m^2]': 'dni',
'Diffuse Horiz [W/m^2]': 'dhi',
'Air Temperature [deg C]': 'temp_air',
'Avg Wind Speed @ 3m [m/s]': 'wind_speed'})
weather = weather.drop(columns=['DATE (MM/DD/YYYY)', 'MST'])Like the UO SRML network, the NREL network has different instruments at different sites, and sometimes the instruments change.
NREL has a fairly straightforward API for daily data. I don't know if it's useful to try to wrap that in addition to the 1 minute data. It could help determine instrument changes.
There's also a nice site API here: https://midcdmz.nrel.gov/apps/data_api_doc.pl?_idtextlist_
Describe alternatives you've considered
Let users implement their own MIDC parsers as needed.
Additional context
Could be useful for Solar Forecasting 2. cc @cwhanse @lboeman @alorenzo175