london_smart_meters (TsFile format)

5560 half hourly time series that represent the energy consumption readings of London households in kilowatt hour (kWh) from November 2011 to February 2014.

This repository contains the full source .tsf series from the Monash Time Series Forecasting Repository converted to Apache TsFile format.

Summary

• Source dataset: Monash-University/monash_tsf
• Original source: https://zenodo.org/record/4656072
• Monash subset: london_smart_meters
• Modalities: Time-series
• Source series: 5,560
• Rows: 166,528,896 flattened timestamped observations
• Frequency: half_hourly
• Forecast horizon metadata: not specified
• Missing-values metadata: True
• Equal-length metadata: False
• Missing target values preserved as NaN: 5,486
• Series length range: 288 to 39,648
• TsFile output: 165 files (london_smart_meters_1.tsfile .. london_smart_meters_99.tsfile)

Files

• london_smart_meters_1.tsfile
• london_smart_meters_10.tsfile
• london_smart_meters_100.tsfile
• london_smart_meters_101.tsfile
• london_smart_meters_102.tsfile
• london_smart_meters_103.tsfile
• london_smart_meters_104.tsfile
• london_smart_meters_105.tsfile
• london_smart_meters_106.tsfile
• london_smart_meters_107.tsfile
• london_smart_meters_108.tsfile
• london_smart_meters_109.tsfile
• london_smart_meters_11.tsfile
• london_smart_meters_110.tsfile
• london_smart_meters_111.tsfile
• london_smart_meters_112.tsfile
• london_smart_meters_113.tsfile
• london_smart_meters_114.tsfile
• london_smart_meters_115.tsfile
• london_smart_meters_116.tsfile
• london_smart_meters_117.tsfile
• london_smart_meters_118.tsfile
• london_smart_meters_119.tsfile
• london_smart_meters_12.tsfile
• london_smart_meters_120.tsfile
• london_smart_meters_121.tsfile
• london_smart_meters_122.tsfile
• london_smart_meters_123.tsfile
• london_smart_meters_124.tsfile
• london_smart_meters_125.tsfile
• ... 135 more .tsfile shards

TsFile Schema

Column	Role	TsFile type
Time	TIME	INT64
series_id	TAG	STRING
series_name	TAG	STRING
start_timestamp	TAG	STRING
target	FIELD	FLOAT

Conversion Notes

• Each source .tsf data row is stored as one TsFile device.
• Source .tsf attributes are stored as TAG columns.
• The target series values are flattened into timestamped rows and stored as a FLOAT FIELD.
• Time is synthesized from the source start timestamp and the .tsf frequency metadata, with millisecond precision.
• Large outputs may be sharded by the TsFile conversion tool; all listed shards belong to the same logical table london_smart_meters.

Reading Example

from tsfile import TsFileReader

reader = TsFileReader("london_smart_meters_1.tsfile")
schemas = reader.get_all_table_schemas()