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 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 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 test_consumption_generator_with_base_load(periods_one_year,gsod_722880_2012_2014_weather_source): model = TemperatureSensitivityModel(cooling=True,heating=True) params = { "base_consumption": 1.0, "heating_slope": 1.0, "heating_reference_temperature": 65.0, "cooling_slope": 1.0, "cooling_reference_temperature": 75.0 } gen = ConsumptionGenerator("electricity", "J", "degF", model,params) consumptions = gen.generate(gsod_722880_2012_2014_weather_source, periods_one_year) consumption_joules = [c.to("J") for c in consumptions] assert_allclose(consumption_joules, [272.5, 308.2, 318.6, 169.2, 87.2, 32.1, 53.6, 185.3, 136.8, 84.4, 167.9, 382.1],rtol=RTOL,atol=ATOL)
def test_consumption_generator_no_base_load(periods_one_year,gsod_722880_2012_2014_weather_source): model = TemperatureSensitivityModel(cooling=True,heating=True) params = { "base_consumption": 0.0, "heating_slope": 1.0, "heating_reference_temperature": 65.0, "cooling_slope": 1.0, "cooling_reference_temperature": 75.0 } gen = ConsumptionGenerator("electricity", "J", "degF", model, params) consumptions = gen.generate(gsod_722880_2012_2014_weather_source, periods_one_year) consumption_joules = [c.to("J") for c in consumptions] assert_allclose(consumption_joules, [241.5, 279.2, 287.6, 139.2, 56.2, 2.1, 22.6, 154.3, 106.8, 53.4, 137.9, 351.1],rtol=RTOL,atol=ATOL)
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 generated_consumption_history_with_n_periods_cdd_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,end = request.param[1] periods = generate_periods(start,end,jitter_intensity=0) fuel_type = "electricity" gen = ConsumptionGenerator(fuel_type, "kWh", "degF", model, params) consumptions = gen.generate(gsod_722880_2012_2014_weather_source(), periods) return ConsumptionHistory(consumptions), fuel_type, request.param[2], request.param[3], request.param[4 ]
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_generator_with_base_load(periods_one_year,gsod_722880_2012_2014_weather_source): gen = ConsumptionGenerator("electricity", "J", "degF", 65, 1, 75, 1, 1) consumptions = gen.generate(gsod_722880_2012_2014_weather_source, periods_one_year) consumption_joules = [c.to("J") for c in consumptions] assert len(consumptions) == len(periods_one_year) == 12 assert arrays_similar(consumption_joules,[276.8, 308.2, 322.5, 183.8, 139.2, 101.7, 223.0, 469.3, 420.2, 212.9, 189.7, 382.1])
def test_generator_no_base_load(periods_one_year,gsod_722880_2012_2014_weather_source): gen = ConsumptionGenerator("electricity", "J", "degF", 65, 1, 75, 1, 0) consumptions = gen.generate(gsod_722880_2012_2014_weather_source, periods_one_year) consumption_joules = [c.to("J") for c in consumptions] assert len(consumptions) == len(periods_one_year) == 12 assert arrays_similar(consumption_joules,[245.8, 279.2, 291.5, 153.8, 108.2, 71.7, 192.0, 438.3, 390.2, 181.9, 159.7, 351.1])