idp_pool¶
-
class
EgonHeatTimeseries
(**kwargs)[source]¶ Bases:
sqlalchemy.ext.declarative.api.Base
-
building_id
¶
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selected_idp_profiles
¶
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zensus_population_id
¶
-
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annual_demand_generator
()[source]¶ Description: Create dataframe with annual demand and household count for each zensus cell :returns: demand_count (pandas.DataFrame) – Annual demand of all zensus cell with MFH and SFH count and
respective associated Station
-
create
()[source]¶ Description: Create dataframe with all temprature classes, 24hr. profiles and household stock
Returns: idp_df (pandas.DataFrame) – All IDP pool as classified as per household stock and temperature class
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idp_pool_generator
()[source]¶ Description: Create List of Dataframes for each temperature class for each household stock
- TYPE list
- List of dataframes with each element representing a dataframe for every combination of household stock and temperature class