Hello,

I'm looking at the tutorial http://eemeter.openee.io/tutorial.html and would like to know what the role of blackout_start_date and blackout_end_date are?

They're set to 12/26/2016 and 1/4/2017.  Is this a holiday period?

Why does the fitting of the model end on blackout_start_date

# get meter data suitable for fitting a baseline model
baseline_meter_data, warnings = eemeter.get_baseline_data(
    meter_data, end=blackout_start_date, max_days=365
)

 

and the calculation of metered savings start on blackout_end_date?

reporting_meter_data, warnings = eemeter.get_reporting_data(
    meter_data, start=blackout_end_date, max_days=365
)

Hi Si,

Thanks for your email. "Blackout period" is synonymous with the Intervention Period described in CalTRACK 1.4.4 (see http://docs.caltrack.org/en/latest/methods.html). This period is the time during which a retrofit or project was performed, between the end of the CalTRACK baseline period and the beginning of the CalTRACK reporting period. I've added that to the documentation (https://github.com/openeemeter/eemeter/pull/386).

Phil

On Tue, Jan 7, 2020 at 6:16 PM Si Chen <sichen@...> wrote:

Hello,

I'm looking at the tutorial http://eemeter.openee.io/tutorial.html and would like to know what the role of blackout_start_date and blackout_end_date are?

They're set to 12/26/2016 and 1/4/2017.  Is this a holiday period?

Why does the fitting of the model end on blackout_start_date

# get meter data suitable for fitting a baseline model
baseline_meter_data, warnings = eemeter.get_baseline_data(
    meter_data, end=blackout_start_date, max_days=365
)

 

and the calculation of metered savings start on blackout_end_date?

reporting_meter_data, warnings = eemeter.get_reporting_data(
    meter_data, start=blackout_end_date, max_days=365
)