MISO Generation Mix by Fuel

What is physically generating in MISO, in megawatts by fuel, one row per interval.

Generation data MISO market

Query with the agent

Native record

one row per interval, wide by fuel

hourly publication cadence

Evidence

Observed market data

Published observations from the named source

Time basis

Interval-start records

UTC · event_time

Overview

35,852 intervals, 2021-01 to now, continuous from 2023-01. Columns: coal_mw, gas_mw, nuclear_mw, hydro_mw, wind_mw, solar_mw, storage_mw, other_mw. Wide rather than long: a whole interval's mix is one row, so shares are computed across columns in that row and the timestamp does not repeat once per fuel. "Which fuel is largest" is greatest() across the columns, or simply reading the row.

Query contract

Select one exact event_time and read every fuel column from that row. A mix assembled from more than one timestamp is not a mix that ever existed.

Analysis rules

Compute each fuel's share against the sum of the fuel columns in that same row, not against demand and not against a total from another interval.
For a change over a period, resolve complete buckets and compare their canonical observations; do not query two wall-clock instants separately.

Interpretation

Coverage is sparse before 2023: a few thousand hours in 2021 and a few hundred in 2022. A missing hour there is a gap in the archive, not zero generation; check the hour count before an annual comparison.
MISO-wide: the source's three market regions are summed into one row. For a regional mix use miso.generation_fuel_type.

Access

Query from your own tools

Use the guarded HTTP endpoint directly, or connect an MCP client and load the dataset contract with describe_data before calling query_data.

MISO MCP API reference

HTTP endpoint

POST /api/v1/datasets/miso_generation_mix/query

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

Schema10

Column

Type

event_timeDateTime64(6, 'UTC')

coal_mwNullable(Float64)

gas_mwNullable(Float64)

nuclear_mwNullable(Float64)

hydro_mwNullable(Float64)

wind_mwNullable(Float64)

solar_mwNullable(Float64)

storage_mwNullable(Float64)

other_mwNullable(Float64)

sourceLowCardinality(String)

Sample data

event_time	coal_mw	gas_mw	nuclear_mw	hydro_mw	wind_mw	solar_mw	storage_mw	other_mw	source
2026-10-16 04:00:00.000000	16083.6	24315.5	9353.3	604	21899	8.4	5.8	567.7	report
2026-10-16 03:00:00.000000	17026.7	25980.3	9351.4	594.5	22457.1	8.5	32.3	586.4	report
2026-10-16 02:00:00.000000	17944.8	27932.100000000002	9352.1	568.8000000000001	22034.799999999996	6.3	53.199999999999996	614.7	report
2026-10-16 01:00:00.000000	17963	29938.4	9351.8	655.3	21683.9	6.299999999999999	113.1	629.2	report
2026-10-16 00:00:00.000000	17782.9	31553.199999999997	9350.6	1002.3999999999999	21276.3	5.3	86.39999999999999	631.8	report
2026-10-15 23:00:00.000000	18161.5	34201.4	9353.8	1089.5	19332	141.7	137.4	653.4000000000001	report
2026-10-15 22:00:00.000000	18311.199999999997	32956.7	9350.7	1148.2000000000003	18314.8	2993.8	139.9	645.9	report
2026-10-15 21:00:00.000000	18937.7	32780.8	9349.3	1047.9	17638	6252.5	3.7	615.5	report
2026-10-15 20:00:00.000000	19834.5	33004.1	9353.6	883.6999999999999	15301	7351.300000000001	1	589.7	report
2026-10-15 19:00:00.000000	20669.8	33189.7	9349	575.3	12920.4	7832.8	0.7	586.5999999999999	report
2026-10-15 18:00:00.000000	21476.6	32301.8	9350.2	576.3	11394.5	7984.200000000001	1	590.7	report
2026-10-15 17:00:00.000000	21855.5	30769.9	9352.3	571.6999999999999	9340.8	8185.7	0.1	612.7	report
2026-10-15 16:00:00.000000	21560.4	30555.7	9355	570.1	7472.1	8213.1	0	625	report
2026-10-15 15:00:00.000000	21605.600000000002	30590.8	9361.7	585.6	6285.900000000001	7673.5	92.3	633.0999999999999	report
2026-10-15 14:00:00.000000	21469.800000000003	30694.1	9370	859.9	5676.4	5960.9	26.400000000000002	617.7	report
2026-10-15 13:00:00.000000	22178.5	30896.4	9372.199999999999	908.0999999999999	5482	2819.4	151.29999999999998	609.8	report
2026-10-15 12:00:00.000000	22618.899999999998	31727.600000000002	9376.7	556.5	5179.6	265.6	369.2	580.5999999999999	report
2026-10-15 11:00:00.000000	22323.700000000004	30714.8	9370	579.0999999999999	4774.9	2.2	86.2	566.2	report
2026-10-15 10:00:00.000000	21531.6	28551.3	9364.6	571.8	4523.5	5	108.9	568.7	report
2026-10-15 09:00:00.000000	21065.8	27391.800000000003	9360.4	573.4	4075.1000000000004	4.6	9.6	570.7	report
2026-10-15 08:00:00.000000	21014.4	27326.699999999997	9361.3	574.1	3486.8	2.2	5.2	577.0999999999999	report
2026-10-15 07:00:00.000000	21293.4	27870.6	9359.4	564.8	3675.4000000000005	3	54.6	583.2	report
2026-10-15 06:00:00.000000	21487.1	27932.9	9360.4	545.1	4024.8999999999996	3.4	20.8	653.9	report
2026-10-15 05:00:00.000000	22430.1	28549.9	9358.1	544.7	4517.200000000001	3.0999999999999996	14	810	report
2026-10-15 04:00:00.000000	22680.1	29987.800000000003	9354.5	533.4	4799.4	3.1	19.8	814.5	report

Coverage

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

Related generation data

Related generation data
Dataset	Description
Day-Ahead Cleared GenerationMISO · hourly (Day-Ahead)	Hourly MISO day-ahead cleared supply by region and physical or virtual segment. Virtual supply is a financial market position and must not be summed into physical generation output.
Day-Ahead Offered GenerationMISO · hourly (Day-Ahead)	Hourly day-ahead generation offers by MISO region and ECOMIN or ECOMAX bound, separated into must-run, economic, and emergency MW. Offered capability is not the same as cleared or physically generated energy.
Fuel on the MarginMISO · 5-minute	MISO's five-minute identification of the fuel types on the dispatch margin by region, with peak/off-peak status and unit count. A marginal fuel observation identifies the price-setting technology category, not all generation running in the interval.
Generation by Fuel and RegionMISO · hourly (Real-Time and Day-Ahead)	Hourly MISO generation in MW by Central, North, and South region, publisher fuel category, and market kind. Real-time and day-ahead rows coexist; filter market_kind before comparing or aggregating them.