IESO Operating Reserve Prices

Operating-reserve prices by product (10S ten-minute synchronized, 10N ten-minute non-synchronized, 30R thirty-minute) and location in each market run.

Ancillary Services data IESO market

Query with the agent

Native record

market run x reserve class x location x interval

five-minute real-time; hourly day-ahead publication cadence

Evidence

Mixed evidence

Multiple evidence types kept distinct in the contract

Time basis

Point-in-time records

UTC · event_time

Overview

Operating-reserve prices by product (10S ten-minute synchronized, 10N ten-minute non-synchronized, 30R thirty-minute) and location in each market run.

Query contract

Preserve one canonical row per (event_time, market_run, or_class, location) before aggregating.

Analysis rules

Filter one market_run: 'rt_5min' (real-time, five-minute), 'da_hourly' (day-ahead market) or 'predispatch_hourly' (pre-dispatch projection). Never mix runs, and never take max(event_time) without one: day-ahead rows reach into tomorrow.
Rows repeat across polls: dedupe with argMax(value, ingested_at) per key.

Interpretation

event_time marks the END of the interval or hour. IESO delivers on EST all year, but this mirror's event_time was built on Toronto wall time, so between the second Sunday of March and the first Sunday of November it is one hour early. The delivery end is event_time + toIntervalSecond(timeZoneOffset(toTimeZone(event_time, 'America/Toronto')) + 18000); rows in the spring-forward hour cannot be placed. Toronto civil time is for display only.
Prices are Canadian dollars per MWh. Never add, rank or average them with US-dollar prices without a dated exchange rate, and say which rate was used.

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')

market_runLowCardinality(String)

or_classLowCardinality(String)

locationLowCardinality(String)

lmpNullable(Float64)

ingested_atDateTime64(6, 'UTC')

Sample data

event_time	market_run	or_class	location	lmp	ingested_at
2026-10-12 04:00:00.000000	da_hourly	30R	ZURICH-LT.AG_T1	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	YOUNGDAVIDSN-LT.TT_LF_DRA	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	YOUNGDAVIDSN-LT.TT26	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	YORKCGS-LT.G2	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	YORKCGS-LT.G1	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	YORKBESS-LT.BATT_TG	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	YORKBESS-LT.BATT_LF	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	YELLOWFALLS-LT.AG_T1	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WOODSTOCK-LT_WOOD	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WOODROFFE-LT.TT13_LF	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WOODBRIDGE-LT_VAUG	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WONDERLAND-LT.LFBY	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WOLVERTON-LT.TT_LF	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WOLFEISLAND-LT.AG_T1	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WINSTON-LT.T1_LF	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WINONA-LT.T1_LF	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WINGHAM-LT.LFBY	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WINDSORSF-LT.AG_T1	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WILTSHIRE-LT.TT1_LF	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WILSON-LT.LFJQ	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WILSON-LT.LFEZ	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WILMOT-LT.LF111	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WILIAMS-LT.TT_LF	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WILHAVEN-LT.T12	0.09	2026-10-10 17:35:30.802469
2026-10-12 04:00:00.000000	da_hourly	30R	WHITERIVER-LT.TT_LF	0.09	2026-10-10 17:35:30.802469

Coverage

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

Related ancillary services data

Related ancillary services data
Dataset	Description
Ancillary Service Market Clearing PricesSPP · 5-minute (RTBM) and hourly (Day-Ahead)	Cleared ancillary-service prices by SPP reserve zone for both the real-time balancing market and the day-ahead market. SPP's product set does not map onto other ISOs': regulation clears as a separate service (capacity) price and mileage price in each direction (reg_up_service, reg_up_mile, reg_dn_service, reg_dn_mile), alongside ramp up and down, spinning, supplemental, and uncertainty products. IMPORTANT: reserve_zone mixes two grains. It carries the numeric ancillary reserve zones (1 through 5 under the SPP balancing authority, 21 under the separate SWPW balancing authority) AND the two balancing-authority roll-ups, 'SPP' and 'SWPW', whose prices equal those of their member zones. Aggregating across every value of reserve_zone double-counts the market.
Ancillary Service PricesERCOT · hourly (DAM)	Hourly market clearing prices for the ancillary services ERCOT procures alongside energy in its Day-Ahead Market, broken out by product: Regulation Up (RegUp), Regulation Down (RegDown), Responsive Reserve (RRS), Non-Spinning Reserve (NSPIN), and the ERCOT Contingency Reserve Service (ECRS). These prices represent what the grid pays per megawatt to hold capacity in reserve for frequency control and contingency response, separate from the energy itself. Watching them shows when reserves are scarce and expensive (often during tight or volatile conditions), which informs how generators and storage operators allocate capacity between energy and reserve markets, and gives researchers a read on the cost of keeping the Texas grid reliable. ECRS, added in 2023, is the newest of these products and has at times cleared at notably high levels.
Ancillary-Service Clearing PricesCAISO · hourly DAM; 15-minute real time	CAISO ancillary-service clearing prices by delivery interval, market run, region, and product. DAM is hourly; rtm_15m is the 15-minute real-time market. Despite the legacy column name mw_or_price, values in this table are prices in USD/MWh; zero is a valid clearing price.
Ancillary-Service ProcurementCAISO · hourly	CAISO ancillary-service procurement quantities by delivery hour, market run, region, product, and result type.