wangdx25/wattcast_data

WattCast state (TsFile)

Apache TsFile version of louey9999/wattcast-data.

Overview

Données et sorties du projet WattCast, mises à jour chaque jour par GitHub Actions.

• Tables: 6 TsFile table(s), 1,187,835 rows in total.
  • wattcast_data_g0: 566,592 rows, 2014-01-01 00:00:00 鈫?2026-10-27 23:00:00 (UTC)
  • wattcast_data_g1: 130,352 rows, 2022-12-31 23:00:00 鈫?2026-09-30 21:30:00.001000 (UTC)
  • wattcast_data_g2: 484,800 rows, 2011-12-31 23:00:00 鈫?2026-10-28 22:45:00 (UTC)
  • wattcast_data_g3: 960 rows, 2026-09-16 00:00:00 鈫?2026-10-05 00:00:00.047000 (UTC)
  • wattcast_data_g4: 18 rows, 2026-09-16 00:00:00 鈫?2026-10-03 00:00:00 (UTC)
  • wattcast_data_g6: 5,113 rows, 2014-01-01 00:00:00 鈫?2027-12-31 00:00:00 (UTC)

Schema (TsFile structure)

wattcast_data_g0.tsfile

• Time (INT64, milliseconds) 鈥?the source time column.
• TAG: point 鈥?device dimension; query one device with WHERE point=....
• FIELD (6): temperature_2m (double), cloud_cover (double), shortwave_radiation (double), wind_speed_10m (double), filled_from_historical (string), issued_at (string)

wattcast_data_g1.tsfile

• Time (INT64, milliseconds) 鈥?the source ts_utc column.
• TAG: none 鈥?the table is stored as a single device.
• FIELD (13): day (string), slot (int32), actual (double), rte_d1 (double), model (double), model_perfect_weather (double), fold (string), naive_d7 (double), seasonal_d7_d14 (double), model_cal (double), rte_cal (double), lo (double), hi (double)

wattcast_data_g2.tsfile

• Time (INT64, milliseconds) 鈥?the source date_heure column.
• TAG: none 鈥?the table is stored as a single device.
• FIELD (3): consommation (double), prevision_j1 (int64), prevision_j (double)

wattcast_data_g3.tsfile

• Time (INT64, milliseconds) 鈥?the source target_day column.
• TAG: none 鈥?the table is stored as a single device.
• FIELD (12): issued_at (string), ts_utc (string), slot (int32), pred_raw (double), bias_applied (double), pred (double), lo (double), hi (double), model_version (string), actual (double), rte_d1 (double), actual_source (string)

wattcast_data_g4.tsfile

• Time (INT64, milliseconds) 鈥?the source day column.
• TAG: none 鈥?the table is stored as a single device.
• FIELD (5): mape_model (double), mape_rte (double), mape_rte_raw (double), coverage (double), model_beats_rte (int64)

wattcast_data_g6.tsfile

• Time (INT64, milliseconds) 鈥?the source day column.
• TAG: none 鈥?the table is stored as a single device.
• FIELD (4): holiday_name (string), is_holiday (int64), is_bridge (int64), school_zones_off (int64)

Conversion notes

• One TsFile per source table (6 tables). Tables whose source carries several entities per file are stored as one device per entity, using point as the TAG.
• Time = the table's own clock column as INT64 milliseconds. The clock columns used here are date_heure, day, target_day, time, ts_utc.
• No column is dropped. Rows that share a timestamp inside one device are ordered by a 1 ms step in stable source order, so calendar columns keep their exact day.

Usage

Read this dataset with the Java SDK. It is written with the zstd compressor. The Apache TsFile Java SDK reads every compressor, but the Python SDK (pip install tsfile) implements only UNCOMPRESSED, SNAPPY, GZIP and LZ4; opening this file with it yields no rows.

Read a converted file with the Apache TsFile Java SDK (org.apache.tsfile:tsfile):

import org.apache.tsfile.file.metadata.IDeviceID;
import org.apache.tsfile.read.TsFileReader;
import org.apache.tsfile.read.TsFileSequenceReader;
import org.apache.tsfile.read.common.Path;
import org.apache.tsfile.read.expression.QueryExpression;
import org.apache.tsfile.read.query.dataset.QueryDataSet;
import org.apache.tsfile.write.schema.MeasurementSchema;

import java.util.ArrayList;
import java.util.List;

String path = "wattcast_data_g0.tsfile";
try (TsFileSequenceReader sequenceReader = new TsFileSequenceReader(path);
     TsFileReader reader = new TsFileReader(sequenceReader)) {
    // Devices are enumerated as IDeviceID objects. Tables with TAG columns
    // have multi-segment device ids that cannot be rebuilt from their string
    // form, so always use getAllDevices() rather than getAllDeviceIds().
    for (IDeviceID device : sequenceReader.getAllDevices()) {
        List<Path> paths = new ArrayList<>();
        for (MeasurementSchema schema : reader.getMeasurement(device)) {
            String name = schema.getMeasurementName();
            if (name != null && !name.isEmpty() && !name.equalsIgnoreCase("Time")) {
                paths.add(new Path(device, name, true));
            }
        }
        QueryDataSet dataSet = reader.query(QueryExpression.create(paths, null));
        while (dataSet.hasNext()) {
            System.out.println(dataSet.next());
        }
    }
}

Source & license

• Original dataset: louey9999/wattcast-data
• Source card title: WattCast state
• License: cc-by-4.0 (as declared by the original dataset).