diff --git a/scripts/build_energy_totals.py b/scripts/build_energy_totals.py index 54c27f81..a476ec65 100644 --- a/scripts/build_energy_totals.py +++ b/scripts/build_energy_totals.py @@ -325,7 +325,7 @@ def idees_per_country(ct: str, base_dir: str) -> pd.DataFrame: ----- - Retrieves JRC-IDEES data for the specified country from `base_dir` for residential, tertiary, and transport sectors. - Calculates energy totals for each sector, stores them in a dictionary and returns them as data frame. - - Assertions ensure indeces of JRC-IDEES data are as expected. + - Assertions ensure indices of JRC-IDEES data are as expected. """ ct_idees = idees_rename.get(ct, ct) diff --git a/scripts/build_heat_totals.py b/scripts/build_heat_totals.py index 22b6bd21..7a43c9ca 100644 --- a/scripts/build_heat_totals.py +++ b/scripts/build_heat_totals.py @@ -37,7 +37,7 @@ def approximate_heat_demand(energy_totals: pd.DataFrame, hdd: pd.DataFrame): energy_totals : pd.DataFrame DataFrame with energy consumption by sector (columns), country and year. Output of :func:`scripts.build_energy_totals.py`. hdd : pd.DataFrame - DataFrame with numer of heating degree days by year (columns) and country (index). + DataFrame with number of heating degree days by year (columns) and country (index). Returns ------- diff --git a/scripts/build_hourly_heat_demand.py b/scripts/build_hourly_heat_demand.py index 71b65c5d..0dcf3524 100644 --- a/scripts/build_hourly_heat_demand.py +++ b/scripts/build_hourly_heat_demand.py @@ -21,7 +21,7 @@ Relevant Settings Inputs ------ -- ``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. +- ``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. - ``resources/daily_heat_demand__elec_s_.nc``: Daily heat demand per cluster. Outputs