def prism_outputs_1(request):
model = TemperatureSensitivityModel(cooling=True,heating=True)
params = {
"base_consumption": request.param[0][0],
"heating_slope": request.param[0][1],
"heating_reference_temperature": request.param[0][2],
"cooling_slope": request.param[0][3],
"cooling_reference_temperature": request.param[0][4]
}
start = datetime(2012,1,1)
end = datetime(2014,12,31)
retrofit_start_date = datetime(2013,6,1)
retrofit_completion_date = datetime(2013,8,1)
periods = generate_periods(start,end,jitter_intensity=0)
gen = ConsumptionGenerator("electricity", "kWh", request.param[4], model, params)
consumptions = gen.generate(gsod_722880_2012_2014_weather_source(), periods)
consumption_kWh_per_day = [c.kWh / c.timedelta.days for c in consumptions]
consumption_n_days = [p.timedelta.days for p in periods]
fixture = ConsumptionHistory(consumptions), model.param_dict_to_list(params), \
request.param[1], request.param[2], \
request.param[3], request.param[4], \
retrofit_start_date, retrofit_completion_date, \
request.param[5], request.param[6], \
request.param[7], request.param[8], \
request.param[9], request.param[10], \
consumption_kWh_per_day, consumption_kWh_per_day, \
consumption_n_days, \
request.param[11]
return fixture
def generated_consumption_history_pre_post_1(request):
model = TemperatureSensitivityModel(cooling=True,heating=True)
pre_params = {
"base_consumption": request.param[0][0],
"heating_slope": request.param[0][1],
"heating_reference_temperature": request.param[0][2],
"cooling_slope": request.param[0][3],
"cooling_reference_temperature": request.param[0][4]
}
post_params = {
"base_consumption": request.param[1][0],
"heating_slope": request.param[1][1],
"heating_reference_temperature": request.param[1][2],
"cooling_slope": request.param[1][3],
"cooling_reference_temperature": request.param[1][4]
}
start = datetime(2012,1,1)
retrofit = datetime(2013,6,15)
end = datetime(2014,12,31)
pre_periods = generate_periods(start,retrofit,jitter_intensity=0)
post_periods = generate_periods(retrofit,end,jitter_intensity=0)
pre_gen = ConsumptionGenerator("electricity", "kWh", "degF", model, pre_params)
post_gen = ConsumptionGenerator("electricity", "kWh", "degF", model, post_params)
pre_consumptions = pre_gen.generate(gsod_722880_2012_2014_weather_source(), pre_periods)
post_consumptions = post_gen.generate(gsod_722880_2012_2014_weather_source(), post_periods)
ch = ConsumptionHistory(pre_consumptions + post_consumptions)
return ch, model.param_dict_to_list(pre_params), model.param_dict_to_list(post_params), retrofit
def generated_consumption_history_with_annualized_usage_1(request):
model = TemperatureSensitivityModel(cooling=True,heating=True)
params = {
"base_consumption": request.param[0][0],
"heating_slope": request.param[0][1],
"heating_reference_temperature": request.param[0][2],
"cooling_slope": request.param[0][3],
"cooling_reference_temperature": request.param[0][4]
}
start = datetime(2012,1,1)
end = datetime(2014,12,31)
periods = generate_periods(start,end,jitter_intensity=0)
gen = ConsumptionGenerator("electricity", "kWh", "degF", model, params)
consumptions = gen.generate(gsod_722880_2012_2014_weather_source(), periods)
return ConsumptionHistory(consumptions), model.param_dict_to_list(params), request.param[1]
def bpi_2400_1(request):
elec_params = {
"base_consumption": request.param[0][0],
"heating_slope": request.param[0][1],
"heating_reference_temperature": request.param[0][2],
"cooling_slope": request.param[0][3],
"cooling_reference_temperature": request.param[0][4]
}
gas_params = {
"base_consumption": request.param[1][0],
"heating_slope": request.param[1][1],
"heating_reference_temperature": request.param[1][2],
}
normal_cdd = request.param[2]
normal_hdd = request.param[3]
cvrmse_electricity = request.param[4]
cvrmse_natural_gas = request.param[5]
n_periods = request.param[6]
time_span = request.param[7]
total_cdd = request.param[8]
total_hdd = request.param[9]
temp_unit = request.param[10]
start = datetime(2012,1,1)
end = datetime(2014,12,31)
periods = generate_periods(start,end,jitter_intensity=0)
elec_model = TemperatureSensitivityModel(cooling=True,heating=True)
gas_model = TemperatureSensitivityModel(cooling=False,heating=True)
gen_elec = ConsumptionGenerator("electricity", "kWh", temp_unit, elec_model, elec_params)
gen_gas = ConsumptionGenerator("natural_gas", "therms", temp_unit, gas_model, gas_params)
elec_consumptions = gen_elec.generate(gsod_722880_2012_2014_weather_source(), periods)
gas_consumptions = gen_gas.generate(gsod_722880_2012_2014_weather_source(), periods)
ch = ConsumptionHistory(elec_consumptions + gas_consumptions)
elec_param_list = elec_model.param_dict_to_list(elec_params)
gas_param_list = gas_model.param_dict_to_list(gas_params)
average_daily_usages_elec = [c.kWh/c.timedelta.days for c in elec_consumptions]
average_daily_usages_gas = [c.therms/c.timedelta.days for c in gas_consumptions]
return ch, elec_param_list, gas_param_list, normal_cdd, normal_hdd, \
cvrmse_electricity, cvrmse_natural_gas, \
n_periods, time_span, total_cdd, total_hdd, temp_unit, \
average_daily_usages_elec, average_daily_usages_gas
def time_span_1(request):
model = TemperatureSensitivityModel(cooling=True,heating=True)
params = {
"base_consumption": request.param[0][0],
"heating_slope": request.param[0][1],
"heating_reference_temperature": request.param[0][2],
"cooling_slope": request.param[0][3],
"cooling_reference_temperature": request.param[0][4]
}
fuel_type = request.param[1]
start, end = request.param[2]
n_days = request.param[3]
periods = generate_periods(start,end,jitter_intensity=0)
gen = ConsumptionGenerator(fuel_type, "kWh", "degF", model, params)
consumptions = gen.generate(gsod_722880_2012_2014_weather_source(), periods)
param_list = model.param_dict_to_list(params)
return ConsumptionHistory(consumptions), fuel_type, n_days
def test_TemperatureSensitivityModel_with_cooling():
initial_params = {
"base_consumption": 0,
"cooling_slope": 0,
"cooling_reference_temperature": 57,
}
param_bounds = {
"base_consumption": [0,100],
"cooling_slope": [0,100],
"cooling_reference_temperature": [52,72],
}
model = TemperatureSensitivityModel(heating=False,cooling=True,initial_params=initial_params,param_bounds=param_bounds)
params = [1,1,60]
observed_temps = np.array([[i] for i in range(50,70)])
usages = model.compute_usage_estimates(params,observed_temps)
assert_almost_equal(usages[8:13],[1,1,1,2,3])
opt_params = model.parameter_optimization(usages, observed_temps)
assert_almost_equal(params,opt_params,decimal=3)
def test_model_weather_input_not_np_array():
model = TemperatureSensitivityModel(heating=False,cooling=False)
params = [1]
observed_temps = [[70],[65,60]]
usages = model.compute_usage_estimates(params,observed_temps)
assert_almost_equal(usages,[1,2])