def METHOD_NAME():
    """
    """
    storage_parameter = {"battery": [0, 0, 0, 0, 0]}
    building = ["testbuilding", "testparcel", "COM"]
    sheets = {"storages": pandas.DataFrame.from_dict({
        "label": ["testbuilding_battery_1"]})}
    sheets["storages"].set_index("label", inplace=True, drop=False)
    sheets_clustering = {"storages": pandas.DataFrame.from_dict({
        "label": ["testbuilding_battery_1"],
        "storage_type": ["Generic"],
        "max. investment capacity": [500],
        "periodical costs": [10],
        "periodical constraint costs": [10],
        "variable output costs": [50],
    })}
    storage_parameter, sheets = Storage.storage_clustering(
        storage_parameter=storage_parameter,
        building=building,
        sheets=sheets,
        sheets_clustering=sheets_clustering
    )
    pandas.testing.assert_frame_equal(sheets["storages"],
                                      test_sheets_clustering)
    test_storage_parameter = {"battery": [1, 500, 10, 10, 50]}
    assert storage_parameter == test_storage_parameter