temporal

The central module containing all code dealing with processing timeseries data using demandregio

class EgonEtragoElectricityCts(**kwargs)[source]

Bases: sqlalchemy.ext.declarative.api.Base

bus_id
p_set
q_set
scn_name
calc_load_curve(share_wz, annual_demand=1)[source]

Create aggregated demand curve for service sector

Parameters:
  • share_wz (pandas.Series or pandas.DataFrame) – Share of annual demand per cts branch
  • annual_demand (float or pandas.Series, optional) – Annual demand in MWh. The default is 1.
Returns:

pandas.Series or pandas.DataFrame – Annual load curve of combindes cts branches
calc_load_curves_cts(scenario)[source]

Temporal disaggregate electrical cts demand per substation.

Parameters:scenario (str) – Scenario name.
Returns:pandas.DataFrame – Demand timeseries of cts per bus id
create_table()[source]

Create tables for demandregio data :returns: None.

insert_cts_load()[source]

Inserts electrical cts loads to etrago-tables in the database

Returns:None.