correct typos in heating rule docs
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@ -325,7 +325,7 @@ def idees_per_country(ct: str, base_dir: str) -> pd.DataFrame:
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-----
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- Retrieves JRC-IDEES data for the specified country from `base_dir` for residential, tertiary, and transport sectors.
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- Calculates energy totals for each sector, stores them in a dictionary and returns them as data frame.
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- Assertions ensure indeces of JRC-IDEES data are as expected.
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- Assertions ensure indices of JRC-IDEES data are as expected.
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"""
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ct_idees = idees_rename.get(ct, ct)
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@ -37,7 +37,7 @@ def approximate_heat_demand(energy_totals: pd.DataFrame, hdd: pd.DataFrame):
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energy_totals : pd.DataFrame
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DataFrame with energy consumption by sector (columns), country and year. Output of :func:`scripts.build_energy_totals.py`.
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hdd : pd.DataFrame
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DataFrame with numer of heating degree days by year (columns) and country (index).
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DataFrame with number of heating degree days by year (columns) and country (index).
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Returns
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-------
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@ -21,7 +21,7 @@ Relevant Settings
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Inputs
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------
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- ``data/heat_load_profile_BDEW.csv``: Intraday heat profile fpr water and space heating demand for the residential and services sectors for weekends and weekdays.
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- ``data/heat_load_profile_BDEW.csv``: Intraday heat profile for water and space heating demand for the residential and services sectors for weekends and weekdays.
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- ``resources/daily_heat_demand_<scope>_elec_s<simpl>_<clusters>.nc``: Daily heat demand per cluster.
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Outputs
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