# ----- build loadshape object ----- #
my_load_shape = Loadshape(load_data=LOAD_DATA, temp_data=TEMP_DATA,
timezone='America/Los_Angeles',
temp_units="F", sq_ft=BUILDING_SQ_FT)
# ----- add exclusions as necessary ----- #
my_load_shape.add_exclusion("2013-09-23 00:00:00", "2013-09-24 00:00:00")
my_load_shape.add_exclusion("2013-09-27 00:00:00", "2013-09-28 00:00:00")
my_load_shape.add_named_exclusion("US_HOLIDAYS")
# ----- add tariff to enable cost calculations ----- #
tariff = Tariff(tariff_file=TARIFF, timezone='America/Los_Angeles')
tariff.add_dr_period("2013-09-23 14:00:00", "2013-09-23 16:00:00")
tariff.add_dr_period("2013-09-27 14:00:00", "2013-09-27 16:15:00")
my_load_shape.set_tariff(tariff)
# ----- build the baseline to use as a reference for performance ----- #
event_baseline = my_load_shape.baseline(weighting_days=14,
modeling_interval=900,
step_size=900)
# ----- calculate the performance summary for the event period ----- #
event_performance = my_load_shape.event_performance(DR_EVENT_START, DR_EVENT_END)
# ----- calculate the performance summary for the whole day ----- #
event_day_performance = my_load_shape.event_performance(DR_EVENT_DAY_START, DR_EVENT_DAY_END)
out = { "power_data": {} }
out["name"] = "DR Event - %s" % DR_EVENT_DAY_START
out["building"] = BUILDING_NAME
