openego / eGon-data

        **year_start_end

    )

    if not_retrieved:

        logger.warning("Generation data from entsoe could not be retrieved.")

        # check for generation backup from former runs

        file_path = Path(

            "./",

            "data_bundle_egon_data",

            "entsoe",

            f"gen_entsoe_{scn_name}.csv",

        ).resolve()

        if os.path.isfile(file_path):

            df_gen_sq, not_retrieved = fill_by_backup_data_from_former_runs(

                df_gen_sq, file_path, not_retrieved

            )

        save_entsoe_data(df_gen_sq, file_path=file_path)

    targets = config.datasets()["electrical_neighbours"]["targets"]

    # Delete existing data

        **year_start_end

    )

    if not_retrieved:

        logger.warning("Generation data from entsoe could not be retrieved.")

        # check for generation backup from former runs

        file_path = Path(

            "./",

            "data_bundle_egon_data",

            "entsoe",

            f"gen_entsoe_{scn_name}.csv",

        ).resolve()

        if os.path.isfile(file_path):

            df_gen_sq, not_retrieved = fill_by_backup_data_from_former_runs(

                df_gen_sq, file_path, not_retrieved

            )

        save_entsoe_data(df_gen_sq, file_path=file_path)

    sto_sq = df_gen_sq.loc[:, df_gen_sq.columns == "Hydro Pumped Storage"]

    sto_sq.rename(columns={"Hydro Pumped Storage": "p_nom"}, inplace=True)