def METHOD_NAME(redd_path, output_filename, format='HDF'):
    """
    Parameters
    ----------
    redd_path : str
        The root path of the REDD low_freq dataset.
    output_filename : str
        The destination filename (including path and suffix).
    format : str
        format of output. Either 'HDF' or 'CSV'. Defaults to 'HDF'
    """
    def _redd_measurement_mapping_func(house_id, chan_id):
        ac_type = 'apparent' if chan_id <= 2 else 'active'
        return [('power', ac_type)]
    # Open DataStore
    store = get_datastore(output_filename, format, mode='w')
    # Convert raw data to DataStore
    _convert(redd_path, store, _redd_measurement_mapping_func, 'US/Eastern')
    s=join(get_module_directory(),
                              'dataset_converters',
                              'redd',
                              'metadata')
    # Add metadata
    save_yaml_to_datastore(join(get_module_directory(), 
                              'dataset_converters', 
                              'redd', 
                              'metadata'),
                         store)
    store.close()
    print("Done converting REDD to HDF5!")