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AESO Wind Forecast (12-hour)

AESO's 12-hour wind forecast in ten-minute steps, with its minimum, most-likely and maximum envelope, every retrieval kept.

Generation dataAESO market
Query with the agent
Native record
10-minute interval x retrieval
retrieved every 10 minutes publication cadence
Evidence
Forecast data
Forward-looking values with an explicit issue time
Time basis
Point-in-time records
UTC · event_time

Overview

AESO's 12-hour wind forecast in ten-minute steps, with its minimum, most-likely and maximum envelope, every retrieval kept.

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.

Interpretation

  • A separate product from the seven-day forecast; never stitch the two.

Access

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

Schema6

Column
Type
event_timeDateTime64(6, 'UTC')
publish_timeDateTime64(6, 'UTC')
min_forecast_mwNullable(Float64)
most_likely_forecast_mwNullable(Float64)
max_forecast_mwNullable(Float64)
ingested_atDateTime64(6, 'UTC')

Sample data

event_timepublish_timemin_forecast_mwmost_likely_forecast_mwmax_forecast_mwingested_at
2026-10-11 05:00:00.0000002026-10-10 17:30:00.0000002177.982840.413357.912026-10-10 17:30:32.437128
2026-10-11 04:50:00.0000002026-10-10 17:30:00.0000002221.882873.193383.632026-10-10 17:30:32.437128
2026-10-11 04:40:00.0000002026-10-10 17:30:00.0000002258.142901.583401.512026-10-10 17:30:32.437128
2026-10-11 04:40:00.0000002026-10-10 17:20:00.0000002257.872912.053401.252026-10-10 17:20:32.364050
2026-10-11 04:30:00.0000002026-10-10 17:30:00.0000002295.882929.083419.452026-10-10 17:30:32.437128
2026-10-11 04:30:00.0000002026-10-10 17:20:00.0000002295.662937.843419.242026-10-10 17:20:32.364050
2026-10-11 04:30:00.0000002026-10-10 17:10:00.0000002294.082959.963417.662026-10-10 17:10:32.024947
2026-10-11 04:20:00.0000002026-10-10 17:30:00.0000002334.322956.383437.392026-10-10 17:30:32.437128
2026-10-11 04:20:00.0000002026-10-10 17:20:00.0000002334.162963.53437.232026-10-10 17:20:32.364050
2026-10-11 04:20:00.0000002026-10-10 17:10:00.0000002332.082987.993435.162026-10-10 17:10:32.024947
2026-10-11 04:20:00.0000002026-10-10 17:00:00.0000002332.672975.443435.752026-10-10 17:00:32.834291
2026-10-11 04:10:00.0000002026-10-10 17:30:00.0000002373.012983.563455.342026-10-10 17:30:32.437128
2026-10-11 04:10:00.0000002026-10-10 17:20:00.0000002372.892989.113455.222026-10-10 17:20:32.364050
2026-10-11 04:10:00.0000002026-10-10 17:10:00.0000002370.343016.023452.662026-10-10 17:10:32.024947
2026-10-11 04:10:00.0000002026-10-10 17:00:00.0000002370.993002.923453.322026-10-10 17:00:32.834291
2026-10-11 04:10:00.0000002026-10-10 16:50:00.0000002368.793037.693451.122026-10-10 16:50:32.511727
2026-10-11 04:10:00.0000002026-10-10 16:40:00.0000002368.793037.693451.122026-10-10 16:40:32.069650
2026-10-11 04:00:00.0000002026-10-10 17:30:00.0000002410.853010.443473.292026-10-10 17:30:32.437128
2026-10-11 04:00:00.0000002026-10-10 17:20:00.0000002410.783014.543473.222026-10-10 17:20:32.364050
2026-10-11 04:00:00.0000002026-10-10 17:10:00.0000002407.733043.993470.172026-10-10 17:10:32.024947
2026-10-11 04:00:00.0000002026-10-10 17:00:00.0000002408.453030.353470.882026-10-10 17:00:32.834291
2026-10-11 04:00:00.0000002026-10-10 16:50:00.0000002406.073066.363468.52026-10-10 16:50:32.511727
2026-10-11 04:00:00.0000002026-10-10 16:40:00.0000002406.073066.363468.52026-10-10 16:40:32.069650
2026-10-11 04:00:00.0000002026-10-10 16:30:00.0000002406.073066.363468.52026-10-10 16:30:33.498738
2026-10-11 03:50:00.0000002026-10-10 17:30:00.0000002441.053038.333488.742026-10-10 17:30:32.437128

Coverage

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