def __init__(self, sector, directory, activity_data=None, residential_floorspace=None, nominal_energy_intensity=None,
end_year=2018, projections=False):
self.end_year = end_year
self.directory = directory
self.sector = sector
self.activity_data = activity_data
self.nominal_energy_intensity = nominal_energy_intensity
self.residential_floorspace = residential_floorspace
self.eia_data = GetEIAData(self.sector)
self.projections = projections
print("WEATHER FACTORS os.getcwd()", os.getcwd())
# self.lmdi_prices = pd.read_excel(os.path.join(
# "..", 'Indicators_Spreadsheets_2020',
# 'EnergyPrices_by_Sector_010820_DBB.xlsx'
# ), sheet_name='LMDI-Prices', header=14, usecols='A:B, EY')
self.lmdi_prices = pd.read_excel(os.path.join(
os.getcwd(), 'Indicators_Spreadsheets_2020',
'EnergyPrices_by_Sector_010820_DBB.xlsx'
), sheet_name='LMDI-Prices', header=14, usecols='A:B, EY')
self.regions_subregions = ['northeast', 'new_england', 'middle_atlantic', 'midwest',
'east_north_central', 'west_north_central', 'south',
'south_atlantic', 'east_south_central', 'west_south_central',
'west', 'mountain', 'pacific']
self.sub_regions_dict = {'northeast': ['New England', 'Middle Atlantic'],
'midwest': ['East North Central', 'West North Central'],
'south': ['South Atlantic', 'East South Central', 'West South Central'],
'west': ['Mountain', 'Pacific']}
def electricity_projections():
"""Gather Commercial projections data
activity: Million kWh
energy: Energy Consumption Trillion Btu
"""
electricity_eia = GetEIAData('electricity')
data_dict = {'Elec Power Sector':
{'Electricity Only':
{'Fossil Fuels':
{'Coal': {'energy': {'primary': electricity_eia.eia_api(id_='AEO.2020.REF2020.CNSM_ENU_ELEP_NA_STC_NA_NA_QBTU.A', id_type='series', new_name='Coal')},
'activity': electricity_eia.eia_api(id_='AEO.2020.AEO2019REF.GEN_NA_ELEP_POW_CL_NA_USA_BLNKWH.A', id_type='series', new_name='Coal')},
'Petroleum': {'energy': {'primary': electricity_eia.eia_api(id_='AEO.2020.REF2020.CNSM_ENU_ELEP_NA_LFL_NA_NA_QBTU.A', id_type='series', new_name='Petroleum')},
'activity': electricity_eia.eia_api(id_='AEO.2020.AEO2019REF.GEN_NA_ELEP_POW_PET_NA_USA_BLNKWH.A', id_type='series', new_name='Petroleum')},
'Natural Gas': {'energy': {'primary': electricity_eia.eia_api(id_='AEO.2020.REF2020.CNSM_ENU_ELEP_NA_NG_NA_NA_QBTU.A', id_type='series', new_name='Natural Gas')},
'activity': electricity_eia.eia_api(id_='AEO.2020.AEO2019REF.GEN_NA_ELEP_POW_NG_NA_USA_BLNKWH.A', id_type='series', new_name='Natural Gas')}},
'Nuclear': {'energy': {'primary': electricity_eia.eia_api(id_='AEO.2020.REF2020.CNSM_ENU_ELEP_NA_NUC_NA_NA_QBTU.A', id_type='series', new_name='Nuclear')},
'activity': electricity_eia.eia_api(id_='AEO.2020.AEO2019REF.GEN_NA_ELEP_POW_NUP_NA_USA_BLNKWH.A', id_type='series', new_name='Nuclear')},
# 'Hydro Electric': {'energy': '',
# 'activity': electricity_eia.eia_api(id_='AEO.2020.REF2020.GEN_NA_ELEP_NA_HYD_CNV_NA_BLNKWH.A', id_type='series')},
'Renewable':
{'Wood': {'energy': {'primary': electricity_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_ELEP_NA_WBM_NA_NA_QBTU.A', id_type='series', new_name='Wood')},
'activity': electricity_eia.eia_api(id_='AEO.2020.REF2020.GEN_NA_ELEP_NA_WBM_NA_NA_BLNKWH.A', id_type='series', new_name='Wood')}, # This is wood and other biomass
'Waste': {'energy': {'primary': electricity_eia.eia_api(id_='AEO.2020.REF2020.CNSM_ENU_ELEP_NA_NBMSW_NA_NA_QBTU.A', id_type='series', new_name='Waste'),
'activity': electricity_eia.eia_api(id_='AEO.2020.REF2020.GEN_NA_ELEP_NA_BGM_NA_NA_BLNKWH.A', id_type='series', new_name='Waste')}}, # This is Biogenic Municipal Waste
# 'Solar': {'Solar Photovoltaic': {'energy': electricity_eia.eia_api(id_='', id_type='series'),
# 'activity': electricity_eia.eia_api(id_='AEO.2020.REF2020.GEN_NA_ELEP_NA_SLR_PHTVL_NA_BLNKWH.A', id_type='series')},
# 'Solar Thermal': {'energy': electricity_eia.eia_api(id_='', id_type='series'),
# 'activity': electricity_eia.eia_api(id_='AEO.2020.REF2020.GEN_NA_ELEP_NA_SLR_THERM_NA_BLNKWH.A', id_type='series')}},
'Wind': {'energy': {'primary': electricity_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_ELEP_NA_OFW_NA_NA_QBTU.A', id_type='series', new_name='Wind')},
'activity': electricity_eia.eia_api(id_='AEO.2020.REF2020.GEN_NA_ELEP_NA_WND_NA_NA_BLNKWH.A', id_type='series', new_name='Wind')}}}}}
return data_dict
def __init__(self, directory, output_directory, level_of_aggregation=None, lmdi_model='multiplicative', base_year=1985, end_year=2018):
self.sub_categories_list = {'Manufacturing': {'Food, Beverages, & Tobacco': None, 'Textile Mills and Products': None,
'Apparel & Leather': None, 'Wood Products': None, 'Paper': None,
'Printing & Allied Support': None, 'Petroleum & Coal Products': None, 'Chemicals': None,
'Plastics & Rubber Products': None, 'Nonmetallic Mineral Products': None, 'Primary Metals': None,
'Fabricated Metal Products': None, 'Machinery': None, 'Computer & Electronic Products': None,
'Electical Equip. & Appliances': None, 'Transportation Equipment': None,
'Furniture & Related Products': None, 'Miscellaneous': None},
'Nonmanufacturing': {'Agriculture, Forestry & Fishing': None,
'Mining': {'Petroleum and Natural Gas': None,
'Other Mining': None,
'Petroleum drilling and Mining Services': None},
'Construction': None}}
self.ind_eia = GetEIAData('industry')
self.conversion_factors = self.ind_eia.conversion_factors()
self.MER_Nov19_Table24 = self.ind_eia.eia_api(id_='711252') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711252'
self.AER10_Table21d = self.ind_eia.eia_api(id_='711252') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711252'
self.AER11_Table21d_MER0816 = self.ind_eia.eia_api(id_='711252') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711252'
self.mer_dataT0204 = self.ind_eia.eia_api(id_='711252') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711252'
self.BEA_Output_data = [0] # Chain-type Quantity Indexes for Value Added by Industry from Bureau of Economic Analysis
self.energy_types = ['elec', 'fuels', 'deliv', 'source', 'source_adj']
super().__init__(sector='industry', level_of_aggregation=level_of_aggregation, lmdi_models=lmdi_model, categories_dict=self.sub_categories_list, \
energy_types=self.energy_types, directory=directory, output_directory=output_directory, base_year=base_year)
def transportation_projections(self):
"""Gather Transportation projections data
activity:
- Passenger-miles [P-M] (Passenger)
- Ton-miles [T-M] (Freight)
energy: Energy Consumption Trillion Btu
"""
# Commercial Carriers? --> domestic air carriers: AEO.2020.AEO2019REF.CNSM_NA_TRN_AIR_DAC_NA_NA_TRLBTU.A
# international air carriers: AEO.2020.AEO2019REF.CNSM_NA_TRN_AIR_IAC_NA_NA_TRLBTU.A
# Transportation Energy Use : Highway : Commercial Light Trucks, Reference, AEO2020: AEO.2020.REF2020.CNSM_NA_TRN_HWY_CML_NA_NA_TRLBTU.A
# Transportation Energy Use : Highway : Freight Trucks : Large, Reference, AEO2020: AEO.2020.REF2020.CNSM_NA_TRN_HWY_FGHT_LGT26KLBS_NA_TRLBTU.A
# Transportation Energy Use : Highway : Freight Trucks : Light Medium, Reference, AEO2020: AEO.2020.REF2020.CNSM_NA_TRN_HWY_FGHT_LITEMED_NA_TRLBTU.A
# Transportation Energy Use : Highway : Freight Trucks : Medium, Reference, AEO2020: AEO.2020.REF2020.CNSM_NA_TRN_HWY_FGHT_MD10T26KLB_NA_TRLBTU.A
# Transportation Energy Use : Highway : Freight Trucks, Reference, AEO2020: AEO.2020.REF2020.CNSM_NA_TRN_HWY_FGHT_NA_NA_TRLBTU.A
# Transportation Energy Use : Non-Highway : Rail : Freight, Reference, AEO2020: AEO.2020.REF2020.CNSM_NA_TRN_RAIL_FGT_NA_NA_TRLBTU.A
transportation_eia = GetEIAData('transportation')
transportation_categories = {'All_Passenger':
{'Highway':
{'Passenger Cars and Trucks':
{'Light Trucks – LWB Vehicles':
{'Light Trucks': {'energy': {'primary': transportation_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_TRN_HWY_LDV_LTRT_NA_TRLBTU.A', id_type='series', new_name='Light Trucks')},
'activity': transportation_eia.eia_api(id_='AEO.2020.REF2020.KEI_TRV_TRN_NA_CML_NA_NA_BLNVEHMLS.A', id_type='series', new_name='Light Trucks')},
'Light-Duty Vehicles': {'energy': {'primary': transportation_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_TRN_HWY_LDV_LTRT_NA_TRLBTU.A', id_type='series', new_name='Light-Duty Vehicles')},
'activity': transportation_eia.eia_api(id_='AEO.2020.REF2020.KEI_TRV_TRN_NA_LDV_NA_NA_BLNVEHMLS.A', id_type='series', new_name='Light-Duty Vehicles')}}},
'Buses': {'activity': transportation_eia.eia_api(id_='AEO.2020.REF2020._TRV_TRN_NA_BST_NA_NA_BPM.A', id_type='series', new_name='Buses'),
'energy': {'primary': transportation_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_TRN_HWY_BUS_NA_NA_TRLBTU.A', id_type='series', new_name='Buses')}}},
'Rail': {'energy': {'primary': transportation_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_TRN_RAIL_PSG_PSG_NA_TRLBTU.A', id_type='series', new_name='Rail')},
'activity': transportation_eia.eia_api(id_='AEO.2020.REF2020._TRV_TRN_NA_RLP_NA_NA_BPM.A', id_type='series', new_name='Rail')},
'Air': {'energy': {'primary': transportation_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_TRN_AIR_IAC_NA_NA_TRLBTU.A', id_type='series', new_name='Air')},
'activity': transportation_eia.eia_api(id_='AEO.2020.REF2020.KEI_TRV_TRN_NA_AIR_NA_NA_BLNSEATMLS.A', id_type='series', new_name='Air')}},
'All_Freight':
{'Highway':
{'Freight-Trucks': {'energy': {'primary': transportation_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_TRN_FGHT_USE_NA_NA_QBTU.A', id_type='series', new_name='Freight-Trucks')},
'activity': transportation_eia.eia_api(id_='AEO.2020.REF2020.KEI_TRV_TRN_NA_FGHT_NA_NA_BLNVEHMLS.A', id_type='series', new_name='Freight-Trucks')}},
'Rail': {'energy': {'primary': transportation_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_NA_TRN_RAIL_FGT_NA_NA_TRLBTU.A', id_type='series', new_name='Rail')},
'activity': transportation_eia.eia_api(id_='AEO.2020.REF2020.KEI_TRV_TRN_NA_RAIL_NA_NA_BLNTNMLS.A', id_type='series', new_name='Rail')},
'Air': {'energy': {'primary': transportation_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_TRN_AIR_FTC_NA_NA_TRLBTU.A', id_type='series', new_name='Air')},
'activity': transportation_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_TRN_AIR_FTC_NA_NA_TRLBTU.A', id_type='series', new_name='Air')}}}
energy_use_transportation_electricity_us = transportation_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_TRN_NA_ELC_NA_NA_QBTU.A', id_type='series', new_name='Transportation')
energy_use_transportation_total_us = transportation_eia.eia_api(id_='YOUR_API_KEY_HERE&series_id=AEO.2020.AEO2019REF.CNSM_ENU_TRN_NA_TOT_NA_NA_QBTU.A', id_type='series', new_name='Transportation')
energy_use_transportation_delivered_energy_us = transportation_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_TRN_NA_DELE_NA_NA_QBTU.A', id_type='series', new_name='Transportation')
data_dict = transportation_categories
return data_dict
def __init__(self, directory, output_directory, sector, config_path,
categories_dict, level_of_aggregation):
self.sector = sector
self.eia = GetEIAData('emissions')
self.config_path = config_path
self.level_of_aggregation = level_of_aggregation
super().__init__(sector,
level_of_aggregation=self.level_of_aggregation,
categories_dict=categories_dict,
directory=directory,
output_directory=output_directory,
primary_activity=None,
unit_conversion_factor=1,
weather_activity=None,
use_yaml_config=True,
config_path=self.config_path)
def __init__(self,
directory,
output_directory,
level_of_aggregation=None,
lmdi_model='multiplicative',
base_year=1985,
end_year=2018):
self.eia_res = GetEIAData('residential')
housing_types = \
{'Single-Family': None,
'Multi-Family': None,
'Manufactured-Homes': None}
self.sub_categories_list = \
{'National':
{'Northeast': housing_types,
'Midwest': housing_types,
'South': housing_types,
'West': housing_types}}
self.national_calibration = \
self.eia_res.national_calibration()
self.seds_census_region = \
self.eia_res.get_seds() # energy_consumtpion_data_regional
RF = ResidentialFloorspace()
self.ahs_Data = RF.update_ahs_data()
self.regions = ['Northeast', 'South', 'West', 'Midwest', 'National']
self.base_year = base_year
self.directory = directory
self.end_year = end_year
self.energy_types = ['elec', 'fuels', 'deliv', 'source']
super().__init__(sector='residential',
level_of_aggregation=level_of_aggregation,
lmdi_models=lmdi_model,
categories_dict=self.sub_categories_list,
energy_types=self.energy_types,
directory=directory,
output_directory=output_directory,
primary_activity='occupied_housing_units',
base_year=base_year,
end_year=end_year,
weather_activity='floorspace_square_feet')
print("self.dir()):", dir(self))
def __init__(self,
directory,
output_directory,
level_of_aggregation,
lmdi_model=['multiplicative'],
end_year=2018,
base_year=1985):
self.end_year = end_year
self.sub_categories_list = {
'Commercial': {
'Commercial_Total': None
}
} #, 'Total_Commercial_LMDI_UtilAdj': None}
self.eia_comm = GetEIAData('commercial')
self.energy_types = ['elec', 'fuels', 'deliv', 'source', 'source_adj']
super().__init__(sector='commercial', level_of_aggregation=level_of_aggregation,lmdi_models=lmdi_model, \
directory=directory, output_directory=output_directory, categories_dict=self.sub_categories_list, energy_types=self.energy_types, \
base_year=base_year)
def __init__(self,
directory,
output_directory,
level_of_aggregation=None,
lmdi_model='multiplicative',
base_year=1985,
end_year=2018):
self.eia_res = GetEIAData('residential')
self.sub_categories_list = {
'National': {
'Northeast': {
'Single-Family': None,
'Multi-Family': None,
'Manufactured-Homes': None
},
'Midwest': {
'Single-Family': None,
'Multi-Family': None,
'Manufactured-Homes': None
},
'South': {
'Single-Family': None,
'Multi-Family': None,
'Manufactured-Homes': None
},
'West': {
'Single-Family': None,
'Multi-Family': None,
'Manufactured-Homes': None
}
}
}
self.national_calibration = self.eia_res.national_calibration()
self.seds_census_region = self.eia_res.get_seds(
) # energy_consumtpion_data_regional
self.ahs_Data = ResidentialFloorspace.update_ahs_data()
self.conversion_factors = self.eia_res.conversion_factors()
self.regions = ['Northeast', 'South', 'West', 'Midwest', 'National']
self.base_year = base_year
self.directory = directory
self.end_year = end_year
self.energy_types = ['elec', 'fuels', 'deliv', 'source']
super().__init__(sector='residential', level_of_aggregation=level_of_aggregation, lmdi_models=lmdi_model, categories_dict=self.sub_categories_list, \
energy_types=self.energy_types, directory=directory, output_directory=output_directory, base_year=base_year)
def __init__(self, sector, directory, activity_data=None, residential_floorspace=None, nominal_energy_intensity=None, \
end_year=2018):
self.end_year = end_year
self.directory = directory
self.sector = sector
self.activity_data = activity_data
self.nominal_energy_intensity = nominal_energy_intensity
self.residential_floorspace = residential_floorspace
self.eia_data = GetEIAData(self.sector)
self.lmdi_prices = pd.read_excel(f'{self.directory}/EnergyPrices_by_Sector_010820_DBB.xlsx',
sheet_name='LMDI-Prices', header=14, usecols='A:B, EY')
self.regions_subregions = ['northeast', 'new_england', 'middle_atlantic', 'midwest',
'east_north_central', 'west_north_central', 'south',
'south_atlantic', 'east_south_central', 'west_south_central',
'west', 'mountain', 'pacific']
self.sub_regions_dict = {'northeast': ['New England', 'Middle Atlantic'],
'midwest': ['East North Central', 'West North Central'],
'south': ['South Atlantic', 'East South Central', 'West South Central'],
'west': ['Mountain', 'Pacific']}
def commercial_projections(self):
"""activity: floorspace
energy: consumption trillion Btu
"""
# Commercial : Total Floorspace : New Additions, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.KEI_NA_COMM_NA_TFP_NADN_USA_BLNSQFT.A'
# Commercial : Total Floorspace : Surviving, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.KEI_NA_COMM_NA_TFP_SURV_USA_BLNSQFT.A'
# Commercial : Total Floorspace : Total, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.KEI_NA_COMM_NA_TFP_TOT_USA_BLNSQFT.A'
commercial_categories = {'Commercial_Total': None, 'Total_Commercial_LMDI_UtilAdj': None}
commercial_eia = GetEIAData('commercial')
energy_use_commercial_electricity_us = commercial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_COMM_NA_ELC_NA_NA_QBTU.A', id_type='series')
energy_use_commercial_total_us = commercial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_COMM_NA_TOT_NA_NA_QBTU.A', id_type='series')
energy_use_commercial_delivered_energy_us = commercial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_COMM_NA_DELE_NA_NA_QBTU.A', id_type='series')
commercial_total_floorspace = commercial_eia.eia_api(id_='AEO.2020.AEO2019REF.KEI_NA_COMM_NA_TFP_TOT_USA_BLNSQFT.A', id_type='series')
data_dict = {'Commercial_Total': {'energy': {'elec': energy_use_commercial_electricity_us, 'deliv': energy_use_commercial_delivered_energy_us},
'activity': commercial_total_floorspace},
'Total_Commercial_LMDI_UtilAdj': None}
return data_dict
def residential_projections(self):
"""Gather Residential projections data
activity:
- Occupied Housing Units
- Floorspace, Square Feet
energy: Energy Consumption Trillion Btu
"""
# Residential : Key Indicators : Average House Square Footage, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.KEI_HHD_RESD_NA_NA_NA_USA_SQFT.A'
# Residential : Key Indicators : Households : Mobile Homes, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.KEI_HHD_RESD_MBH_NA_NA_USA_MILL.A'
# Residential : Key Indicators : Households : Multifamily, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.KEI_HHD_RESD_MFR_NA_NA_USA_MILL.A'
# Residential : Key Indicators : Households : Single-Family, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.KEI_HHD_RESD_SFR_NA_NA_USA_MILL.A'
# Residential : Key Indicators : Households : Total, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.KEI_HHD_RESD_TEN_NA_NA_USA_MILL.A'
self.sub_regions_dict = {'Northeast': {'New England': 'NENGL', 'Middle Atlantic': 'MATL'}, 'Midwest': {'East North Central': 'ENC', 'West North Central': 'WNC'},
'South': {'South Atlantic': 'SATL', 'East South Central': 'ESC', 'West South Central': 'WSC'}, 'West': {'Mountain': 'MTN', 'Pacific': 'PCF'}}
residential_eia = GetEIAData('residential')
energy_use_residential_electricity_us = residential_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_RESD_NA_ELC_NA_NA_QBTU.A', id_type='series')
energy_use_residential_total_us = residential_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_RESD_NA_TOT_NA_NA_QBTU.A', id_type='series')
energy_use_residential_delivered_energy_us = residential_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_RESD_NA_DELE_NA_NA_QBTU.A', id_type='series')
res_housholds= residential_eia.eia_api(id_='AEO.2020.AEO2019REF.KEI_HHD_RESD_TEN_NA_NA_USA_MILL.A', id_type='series', new_name='Residential')
res_avg_size = residential_eia.eia_api(id_='AEO.2020.AEO2019REF.KEI_HHD_RESD_NA_NA_NA_USA_SQFT.A', id_type='series', new_name='Residential')
residential_floorspace = res_avg_size.multiply(res_housholds.values)
activity_data = {'households': res_housholds,
'average_size': res_avg_size,
'total_floorspace': residential_floorspace}
energy_data = {'elec': residential_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_RESD_NA_ELC_NA_NA_QBTU.A', id_type='series', new_name='Residential'),
'deliv': residential_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_RESD_NA_DELE_NA_NA_QBTU.A', id_type='series', new_name='Residential')}
data_dict = {'energy': energy_data, 'activity': activity_data}
return data_dict
def industrial_projections(self):
"""Gather Industrial projections data
activity:
- Value added --> Gross Domestic Product (Total Industrial only)
- Gross Output
- Value Added
energy: Energy Consumption Trillion Btu
"""
# Industrial : Value of Shipments : Agriculture, Mining, and Construction, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.ECI_NA_IDAL_NMFG_VOS_NA_USA_BLNY09DLR.A'
# Industrial : Value of Shipments : Manufacturing, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.ECI_NA_IDAL_MANF_VOS_NA_USA_BLNY09DLR.A'
# Industrial : Value of Shipments : Total, AEO2019, AEO2020 --> 'AEO.2020.AEO2019REF.ECI_NA_IDAL_NA_VOS_NA_USA_BLNY09DLR.A'
industrial_eia = GetEIAData('industrial')
data_dict = {'Manufacturing': {'Food, Beverages, & Tobacco': {'Food Products': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_FDP_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Food Products'),
'purchased_electricity': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_FDP_PRC_NA_NA_TRLBTU.A', id_type='series', new_name='Food Products')},
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_IDAL_FDP_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Food Products')}},
# 'Beverages and Tobacco Products': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'value_of_shipments': 'AEO.2020.REF2020.ECI_VOS_MANF_BVTP_NA_NA_NA_BLNY09DLR.A'}}
},
# 'Textile Mills and Products': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'shipments': 'AEO.2020.REF2020.ECI_VOS_MANF_TMP_NA_NA_NA_BLNY09DLR.A'}},
'Wood Products': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_WDP_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Wood Products'),
'purchased_electricity': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_WDP_ELC_NA_NA_TRLBTU.A', id_type='series', new_name='Wood Products')},
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_SHP_IDAL_WDP_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Wood Products')}},
'Paper': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_PPM_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Paper'),
'purchased_electricity': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_PPM_PRC_NA_NA_TRLBTU.A', id_type='series', new_name='Paper')},
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_IDAL_PPM_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Paper')}} ,
# 'Printing': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'value_of_shipments': 'AEO.2020.REF2020.ECI_VOS_MANF_PRN_NA_NA_NA_BLNY09DLR.A'}},
# 'Petroleum & Coal Products': {'energy': {'total_energy': industrial_eia.eia_api(id_='', id_type='series'),
# 'purchased_electricity': industrial_eia.eia_api(id_='', id_type='series')},
# 'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_MANF_PCL_NA_NA_NA_BLNY09DLR.A', id_type='series')}},
'Chemicals': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_BCH_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Chemicals'),
'purchased_electricity': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_BCH_HAP_PRC_NA_TRLBTU.A', id_type='series', new_name='Chemicals')},
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_MANF_CHE_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Chemicals')}},
'Plastics & Rubber Products': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_PLI_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Plastics & Rubber Products'),
'purchased_electricity': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_PLI_ELC_NA_NA_TRLBTU.A', id_type='series', new_name='Plastics & Rubber Products')},
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_MANF_PRP_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Plastics & Rubber Products')}},
# 'Nonmetallic Mineral Products': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_MANF_SCG_NA_NA_NA_BLNY09DLR.A', id_type='series')}}, ,
# 'Primary Metals': {'energy': {'total_energy': {'iron_and_steel': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_ISM_TOT_NA_NA_TRLBTU.A', id_type='series', new_name='Primary Metals'),
# 'aluminum': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_AAP_TOT_NA_NA_TRLBTU.A', id_type='series', new_name='Primary Metals')},
# 'purchased_electricity': {'iron_and_steel': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_ISM_PRC_NA_NA_TRLBTU.A', id_type='series', new_name='Primary Metals'),
# 'aluminum': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_AAP_PRC_NA_NA_TRLBTU.A', id_type='series', new_name='Primary Metals')}},
# 'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_MANF_PMM_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Primary Metals')}},
# 'Fabricated Metal Products': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_IDAL_FABM_NA_NA_NA_BLNY09DLR.A', id_type='series')}}, ,
# 'Machinery': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_IDAL_MCHI_NA_NA_NA_BLNY09DLR.A', id_type='series')}}, ,
# 'Computer & Electronic Products': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_MANF_CMPEL_NA_NA_NA_BLNY09DLR.A', id_type='series')}},
# 'Electrical Equipment': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_IDAL_EEI_NA_NA_NA_BLNY09DLR.A', id_type='series')}}},
# 'Transportation Equipment': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_IDAL_TEQ_NA_NA_NA_BLNY09DLR.A', id_type='series')}},
# 'Furniture & Related Products': {'energy': {'total_energy': , 'purchased_electricity': },
# 'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_MANF_FRP_NA_NA_NA_BLNY09DLR.A', id_type='series')}},
'Miscellaneous': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_BMF_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Miscellaneous'),
'purchased_electricity': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_BMF_ELC_NA_NA_TRLBTU.A', id_type='series', new_name='Miscellaneous')}, # Energy data from "Balance of Manufacturing"
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_MANF_MISC_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Miscellaneous')}}},
'Nonmanufacturing': {'Agriculture/Forestry/Fishing/Hunting': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_AGG_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Agriculture/Forestry/Fishing/Hunting'),
'purchased_electricity': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_AGG_PRC_NA_NA_TRLBTU.A', id_type='series', new_name='Agriculture/Forestry/Fishing/Hunting')},
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_NMFG_AFF_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Agriculture/Forestry/Fishing/Hunting')}}, # here elec is purchased electricity, Note: try to find total elec
'Mining': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_MING_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Mining'),
'purchased_electricity': {'excluding_oil_shale': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_MING_PEO_NA_NA_TRLBTU.A', id_type='series', new_name='Mining'),
'including_oil_shale': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_MING_PES_NA_NA_TRLBTU.A', id_type='series', new_name='Mining')}},
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_NMFG_MING_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Mining')}},
'Construction': {'energy': {'total_energy': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_CNS_NA_NA_NA_TRLBTU.A', id_type='series', new_name='Construction'),
'purchased_electricity': industrial_eia.eia_api(id_='AEO.2020.REF2020.CNSM_NA_IDAL_CNS_PRC_NA_NA_TRLBTU.A', id_type='series', new_name='Construction')},
'activity': {'value_of_shipments': industrial_eia.eia_api(id_='AEO.2020.REF2020.ECI_VOS_NMFG_CNS_NA_NA_NA_BLNY09DLR.A', id_type='series', new_name='Construction')}}}}
energy_use_industrial_electricity_us = industrial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_IDAL_NA_ELC_NA_NA_QBTU.A', id_type='series', new_name='Industry')
energy_use_industrial_total_us = industrial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_IDAL_NA_TOT_NA_NA_QBTU.A', id_type='series', new_name='Industry')
energy_use_industrial_delivered_energy_us = industrial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_IDAL_NA_DELE_NA_NA_QBTU.A', id_type='series', new_name='Industry')
return data_dict
def __init__(self,
directory,
output_directory,
level_of_aggregation,
lmdi_model=['multiplicative'],
base_year=1985):
self.sub_categories_list = {
'Elec Generation Total': {
'Elec Power Sector': {
'Electricity Only': {
'Fossil Fuels': {
'Coal': None,
'Petroleum': None,
'Natural Gas': None,
'Other Gasses': None
},
'Nuclear': None,
'Hydro Electric': None,
'Renewable': {
'Wood': None,
'Waste': None,
'Geothermal': None,
'Solar': None,
'Wind': None
}
},
'Combined Heat & Power': {
'Fossil Fuels': {
'Coal': None,
'Petroleum': None,
'Natural Gas': None,
'Other Gasses': None
},
'Renewable': {
'Wood': None,
'Waste': None
}
}
},
'Commercial Sector': None,
'Industrial Sector': None
},
'All CHP': {
'Elec Power Sector': {
'Combined Heat & Power': {
'Fossil Fuels': {
'Coal': None,
'Petroleum': None,
'Natural Gas': None,
'Other Gasses': None
},
'Renewable': {
'Wood': None,
'Waste': None
},
'Other': None
}
},
'Commercial Sector': {
'Combined Heat & Power': {
'Fossil Fuels': {
'Coal': None,
'Petroleum': None,
'Natural Gas': None,
'Other Gasses': None
},
'Hydroelectric': None,
'Renewable': {
'Wood': None,
'Waste': None
},
'Other': None
}
},
'Industrial Sector': {
'Combined Heat & Power': {
'Fossil Fuels': {
'Coal': None,
'Petroleum': None,
'Natural Gas': None,
'Other Gasses': None
},
'Hydroelectric': None,
'Renewable': {
'Wood': None,
'Waste': None
},
'Other': None
}
}
}
}
self.elec_power_eia = GetEIAData(sector='electricity')
# self.Table21f = pd.read_excel('https://www.eia.gov/totalenergy/data/browser/xls.php?tbl=T02.06') #self.elec_power_eia.eia_api(id_='711254') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711254'
# self.Table82a = self.elec_power_eia.eia_api(id_='3') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=3'
# self.Table82b = self.elec_power_eia.eia_api(id_='21') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=21'
# self.Table82c = self.elec_power_eia.eia_api(id_='1736765') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=1736765' ?
# self.Table82d = self.elec_power_eia.eia_api(id_='711282') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711282'
# # self.Table82d_2012_and_later = self.elec_power_eia.eia_api(id_='1017') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=1017'
# self.Table83d_03 = self.elec_power_eia.eia_api(id_='711284') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711284' ?
# self.Table84b = self.elec_power_eia.eia_api(id_='711284') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711284' ?
# self.Table85c = self.elec_power_eia.eia_api(id_='379') # ?
# self.Table86b = self.elec_power_eia.eia_api(id_='463') # ?
# self.MER_T72b_1013_AnnualData = self.elec_power_eia.eia_api(id_='21') #'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=21'
# self.MER_T72c_1013_AnnualData = self.elec_power_eia.eia_api(id_='2') # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=2'
self.energy_types = ['primary']
self.Table84c = pd.read_csv(
'https://www.eia.gov/totalenergy/data/browser/csv.php?tbl=T07.03C'
) # Consumption of combustible fuels for electricity generation: Commercial and industrial sectors (selected fuels) # elec_power_eia.eia_api(id_='456')
self.Table85c = pd.read_csv(
'https://www.eia.gov/totalenergy/data/browser/csv.php?tbl=T07.03B'
) # Consumption of combustible fuels for electricity generation: Electric power sector
self.Table82d = pd.read_csv(
'https://www.eia.gov/totalenergy/data/browser/csv.php?tbl=T07.02C')
super().__init__(sector='electric', level_of_aggregation=level_of_aggregation, lmdi_models=lmdi_model, categories_dict=self.sub_categories_list, \
energy_types=self.energy_types, directory=directory, output_directory=output_directory, base_year=base_year)
def __init__(self,
directory,
output_directory,
level_of_aggregation,
lmdi_model='multiplicative',
tedb_date='04302020',
base_year=1985,
end_year=2018):
self.transit_eia = GetEIAData('transportation')
self.mer_table25_dec_2019 = self.transit_eia.eia_api(
id_='711272'
) # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711272'
self.mer_table_43_nov2019 = self.transit_eia.eia_api(
id_='711272'
) # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711272'
self.aer_2010_table_65 = self.transit_eia.eia_api(
id_='711272'
) # 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711272'
self.tedb_date = tedb_date
self.energy_types = ['deliv']
self.sub_categories_list = {
'All_Passenger': {
'Highway': {
'Passenger Cars and Trucks': {
'Passenger Car – SWB Vehicles': {
'Passenger Car': None,
'SWB Vehicles': None
},
'Light Trucks – LWB Vehicles': {
'Light Trucks': None,
'LWB Vehicles': None
},
'Motorcycles': None
},
'Buses': {
'Urban Bus': None,
'Intercity Bus': None,
'School Bus': None
},
'Paratransit': None
},
'Rail': {
'Urban Rail': {
'Commuter Rail': None,
'Heavy Rail': None,
'Light Rail': None
},
'Intercity Rail': None
},
'Air': {
'Commercial Carriers': None,
'General Aviation': None
}
},
'All_Freight': {
'Highway': {
'Single-Unit Truck': None,
'Combination Truck': None
},
'Rail': None,
'Air': None,
# 'Waterborne': None,
'Pipeline': {
'Oil Pipeline': None,
'Natural Gas Pipeline': None
}
}
}
super().__init__(sector='transportation', level_of_aggregation=level_of_aggregation, lmdi_models=lmdi_model, categories_dict=self.sub_categories_list, \
energy_types=self.energy_types, directory=directory, output_directory=output_directory, base_year=base_year)
def __init__(self,
directory,
output_directory,
level_of_aggregation=None,
lmdi_model='multiplicative',
base_year=1985,
end_year=2018,
naics_digits=3):
self.sub_categories_list = \
{'Industry':
{'Manufacturing':
{'Food and beverage and tobacco products': None,
'Textile mills and textile product mills': None,
'Apparel and leather and allied products': None,
'Wood products': None,
'Paper products': None,
'Printing and related support activities': None,
'Petroleum and coal products': None,
'Chemical products': None,
'Plastics and rubber products': None,
'Nonmetallic mineral products': None,
'Primary metals': None,
'Fabricated metal products': None,
'Machinery': None,
'Computer and electronic products': None,
'Electrical equipment, appliances, and components': None,
'Motor vehicles, bodies and trailers, and parts': None,
'Furniture and related products': None,
'Miscellaneous manufacturing': None},
'Nonmanufacturing':
{'Agriculture, Forestry & Fishing': None,
'Mining':
{'Petroleum and Natural Gas': None,
'Other Mining': None,
'Support Activities': None},
'Construction': None}}}
self.ind_eia = GetEIAData('industry')
# 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711252'
self.MER_Nov19_Table24 = \
self.ind_eia.eia_api(id_='711252')
# 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711252'
self.AER10_Table21d = \
self.ind_eia.eia_api(id_='711252')
# 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711252'
self.AER11_Table21d_MER0816 = \
self.ind_eia.eia_api(id_='711252')
# 'http://api.eia.gov/category/?api_key=YOUR_API_KEY_HERE&category_id=711252'
self.mer_dataT0204 = \
self.ind_eia.eia_api(id_='711252')
self.energy_types = ['elec', 'fuels', 'deliv', 'source', 'source_adj']
self.naics_digits = naics_digits
super().__init__(sector='industry',
level_of_aggregation=level_of_aggregation,
lmdi_models=lmdi_model,
categories_dict=self.sub_categories_list,
energy_types=self.energy_types,
directory=directory,
output_directory=output_directory,
base_year=base_year,
primary_activity='value_added')
def __init__(self):
self.eia = GetEIAData('emissions')
'activity': {'value_of_shipments': 'AEO.2020.REF2020.ECI_VOS_MANF_FRP_NA_NA_NA_BLNY09DLR.A'}},
'Miscellaneous': {'energy': {'total_energy': 'AEO.2020.REF2020.CNSM_NA_IDAL_BMF_NA_NA_NA_TRLBTU.A',
'purchased_electricity': 'AEO.2020.REF2020.CNSM_NA_IDAL_BMF_ELC_NA_NA_TRLBTU.A'}, # Energy data from "Balance of Manufacturing"
'activity': {'value_of_shipments': 'AEO.2020.REF2020.ECI_VOS_MANF_MISC_NA_NA_NA_BLNY09DLR.A'}}},
'Nonmanufacturing': {'Agriculture/Forestry/Fishing/Hunting': {'energy': {'total_energy': 'AEO.2020.REF2020.CNSM_NA_IDAL_AGG_NA_NA_NA_TRLBTU.A',
'purchased_electricity': 'AEO.2020.REF2020.CNSM_NA_IDAL_AGG_PRC_NA_NA_TRLBTU.A'},
'activity': {'value_of_shipments': 'AEO.2020.REF2020.ECI_VOS_NMFG_AFF_NA_NA_NA_BLNY09DLR.A'}}, # here elec is purchased electricity, Note: try to find total elec
'Mining': {{'energy': {'total_energy': 'AEO.2020.REF2020.CNSM_NA_IDAL_MING_NA_NA_NA_TRLBTU.A',
'purchased_electricity': {'excluding_oil_shale': 'AEO.2020.REF2020.CNSM_NA_IDAL_MING_PEO_NA_NA_TRLBTU.A',
'including_oil_shale': 'AEO.2020.REF2020.CNSM_NA_IDAL_MING_PES_NA_NA_TRLBTU.A'}},
'activity': {'value_of_shipments': 'AEO.2020.REF2020.ECI_VOS_NMFG_MING_NA_NA_NA_BLNY09DLR.A'}}},
'Construction': {'energy': {'total_energy': 'AEO.2020.REF2020.CNSM_NA_IDAL_CNS_NA_NA_NA_TRLBTU.A',
'purchased_electricity': 'AEO.2020.REF2020.CNSM_NA_IDAL_CNS_PRC_NA_NA_TRLBTU.A'},
'activity': {'value_of_shipments': 'AEO.2020.REF2020.ECI_VOS_NMFG_CNS_NA_NA_NA_BLNY09DLR.A'}}}}
industrial_eia = GetEIAData('industrial')
energy_use_industrial_electricity_us = industrial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_IDAL_NA_ELC_NA_NA_QBTU.A', id_type='series')
energy_use_industrial_total_us = industrial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_IDAL_NA_TOT_NA_NA_QBTU.A', id_type='series')
energy_use_industrial_delivered_energy_us = industrial_eia.eia_api(id_='AEO.2020.AEO2019REF.CNSM_ENU_IDAL_NA_DELE_NA_NA_QBTU.A', id_type='series')
industrial_value_of_shipments_total =
activity_data =
energy_data =
pass
def transportation_projections(self):
"""activity:
- Passenger-miles [P-M] (Passenger)