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dataset.json5
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dataset.json5
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{
dataset_id: 'eia_861_annual_energy_use_state_sector',
data_source: 'EIA 861',
dataset_type: 'historical',
sector_description: '',
description: 'EIA 861 Utility Customer Sales (MWh) by State by Sector by Year for 2010-2020. This yearly 2010-2020 data was collected from EIA and processed by NREL dsgrid team. The Sales_Ult_Cust_<year> dataset was processed to get total sales (MWh) to customers by sector (com, res, ind, trans). The original data is utility-state, but for this dataset, we took the state sums. Furnished without Charge sales from the Operational_Data_{year} table were added to the commercial sector. Data processing scripts can be found in the dsgrid-Standard-Scenarios project repository under dsgrid-project/historical/eia_861_annual_energy_use_state_sector/scripts.',
origin_creator: 'Meghan Mooney',
origin_organization: 'EIA',
origin_contributors: [
'EIA electricity data experts, infoelectric@eia.gov',
'Meghan Mooney (NREL)',
'Lixi Liu (NREL)',
'Elaine Hale (NREL)',
],
origin_project: 'EIA 861',
origin_date: '2021-11-03',
origin_version: '2010-2020',
source: 'Data extracted from EIA 861 utility customer sales',
data_classification: 'low',
tags: ['historical', 'eia861', 'sales'],
trivial_dimensions: ['subsector', 'scenario'],
data_schema: {
table_format: {
format_type: "pivoted",
pivoted_dimension_type: "metric",
},
data_schema_type: "one_table",
},
dimensions: [
{
// this is different than the project supplemental state dimension (it includes AK and HI)
class: 'State',
description: 'US States',
file: 'dimensions/states.csv',
module: 'dsgrid.dimension.standard',
name: 'US States',
display_name: 'State',
type: 'geography',
},
{
class: 'Sector',
description: 'dsgrid Standard Scenarios 2021 Sectors; Commercial, Residential, Industrial and Transportation',
file: 'dimensions/sectors.csv',
module: 'dsgrid.dimension.standard',
name: 'Sectors - Com-Res-Ind-Trans',
display_name: 'Sector',
type: 'sector',
},
{
type: 'subsector',
name: 'Unspecified Subsectors',
display_name: 'Unspecified Subsectors',
file: 'dimensions/subsectors_unspecified.csv',
module: 'dsgrid.dimension.standard',
class: 'Subsector',
description: 'Subsectors Unspecified',
},
{
type: 'metric',
name: 'EIA861_customer_sales',
display_name: 'Customer Sales',
file: 'dimensions/eia861_sales_metric.csv',
module: 'dsgrid.dimension.standard',
class: 'EnergyEndUse',
description: 'Utility Customer Electricity Sales (MWh)',
},
{
type: 'scenario',
name: 'Conus-2022-reference',
display_name: 'Reference',
file: '../../modeled/resstock/dimensions/scenario_conus_2022_reference.csv',
module: 'dsgrid.dimension.standard',
class: 'Scenario',
description: 'Scenario CONUS (Continental U.S.) 2022 Reference',
},
{
type: 'weather_year',
name: 'Weather_Years-2010_to_2020',
display_name: 'None',
file: 'dimensions/weather_years_2010_to_2020.csv',
module: 'dsgrid.dimension.standard',
class: 'WeatherYear',
description: 'Weather years, 2010-2020',
},
{
type: 'model_year',
name: 'Model_Years-2010_to_2020',
display_name: 'None',
file: 'dimensions/model_years_2010_to_2020.csv',
module: 'dsgrid.dimension.standard',
class: 'ModelYear',
description: 'Model years, 2010-2020',
},
{
type: 'time',
class: 'AnnualTime',
time_type: 'annual',
module: 'dsgrid.dimension.standard',
description: 'Annual time 2010-2020',
name: 'annual_time-2010_to_2020',
display_name: 'Annual',
ranges: [
{
start: '2010',
end: '2020',
},
],
str_format: '%Y',
include_leap_day: true,
measurement_type: 'total',
},
],
}