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AESO Load Forecast

AESO's hourly Alberta internal load forecast, every retrieval kept, reaching about two weeks ahead.

Load dataAESO market
Query with the agent
Native record
hour x retrieval
retrieved every 15 minutes; 14 days ahead publication cadence
Evidence
Forecast data
Forward-looking values with an explicit issue time
Time basis
Interval-start records
UTC · event_time

Overview

AESO's hourly Alberta internal load forecast, every retrieval kept, reaching about two weeks ahead.

Query contract

Preserve one canonical row per (event_time, publish_time) before aggregating.

Analysis rules

  • publish_time is when the collector retrieved this forecast, not a verified AESO publication time. A forecast for hour H as known before H: the latest publish_time < H. Never stitch vintages into one curve without saying so.
  • Compare with actuals from aeso.load on the same hour-beginning event_time.

Interpretation

  • event_time is the START of the hour (hour beginning), in UTC. Alberta civil time is America/Edmonton.

Access

Need the full history of this dataset in Snowflake, Databricks or your own storage? Data services delivers it on a schedule.

Schema4

Column
Type
event_timeDateTime64(6, 'UTC')
publish_timeDateTime64(6, 'UTC')
forecast_load_mwNullable(Float64)
ingested_atDateTime64(6, 'UTC')

Sample data

event_timepublish_timeforecast_load_mwingested_at
2026-10-24 05:00:00.0000002026-10-10 17:30:00.000000101712026-10-10 17:30:59.232622
2026-10-24 05:00:00.0000002026-10-10 17:15:00.000000101712026-10-10 17:15:58.176041
2026-10-24 05:00:00.0000002026-10-10 17:00:00.000000101712026-10-10 17:00:58.218266
2026-10-24 05:00:00.0000002026-10-10 16:45:00.000000101712026-10-10 16:46:00.388492
2026-10-24 05:00:00.0000002026-10-10 16:30:00.000000101712026-10-10 16:30:58.137962
2026-10-24 05:00:00.0000002026-10-10 16:15:00.000000101712026-10-10 16:16:00.009365
2026-10-24 05:00:00.0000002026-10-10 16:01:00.000000101712026-10-10 16:01:07.513252
2026-10-24 05:00:00.0000002026-10-10 15:45:00.000000101712026-10-10 15:45:58.659279
2026-10-24 05:00:00.0000002026-10-10 15:30:00.000000101712026-10-10 15:30:58.550668
2026-10-24 05:00:00.0000002026-10-10 15:15:00.000000101712026-10-10 15:15:58.184317
2026-10-24 05:00:00.0000002026-10-10 15:01:00.000000101712026-10-10 15:02:00.218655
2026-10-24 05:00:00.0000002026-10-10 14:45:00.000000101712026-10-10 14:45:57.980183
2026-10-24 05:00:00.0000002026-10-10 14:30:00.000000101712026-10-10 14:30:58.143748
2026-10-24 05:00:00.0000002026-10-10 14:15:00.000000101712026-10-10 14:15:58.248228
2026-10-24 05:00:00.0000002026-10-10 14:00:00.000000101712026-10-10 14:01:04.721692
2026-10-24 05:00:00.0000002026-10-10 13:45:00.000000101712026-10-10 13:45:58.647371
2026-10-24 05:00:00.0000002026-10-10 13:30:00.000000101712026-10-10 13:30:57.974936
2026-10-24 05:00:00.0000002026-10-10 13:15:00.000000101712026-10-10 13:15:58.178565
2026-10-24 05:00:00.0000002026-10-10 13:00:00.000000101712026-10-10 13:00:58.190315
2026-10-24 05:00:00.0000002026-10-10 12:45:00.000000101712026-10-10 12:45:58.851961
2026-10-24 05:00:00.0000002026-10-10 12:30:00.000000101712026-10-10 12:30:58.237528
2026-10-24 05:00:00.0000002026-10-10 12:15:00.000000101712026-10-10 12:15:59.010505
2026-10-24 05:00:00.0000002026-10-10 12:00:00.000000101492026-10-10 12:00:58.475562
2026-10-24 05:00:00.0000002026-10-10 11:45:00.000000101492026-10-10 11:45:58.099435
2026-10-24 05:00:00.0000002026-10-10 11:30:00.000000101492026-10-10 11:30:58.395335

Coverage

No time-indexed data — coverage isn’t applicable to this dataset.