System-Wide Demand

This dataset reports actual system-wide electricity demand across the ERCOT region of Texas, summed to a single total at 15-minute intervals.

Load data ERCOT market

Query with the agent

Native record

event_time

15-minute (settled; posted hourly) publication cadence

Evidence

Observed market data

Published observations from the named source

Time basis

Interval-end records

UTC · event_time

Overview

It comes from ERCOT's official Actual System Load by Weather Zone and system-wide reporting (report NP6-235-CD) and reflects settled demand rather than the faster, provisional real-time readings. Operators, traders, and researchers use it to study how Texas load rises and falls through the day and across seasons, to benchmark forecasts against what the grid actually consumed, and to anchor analyses of peak demand and stress events.

Query contract

Preserve one canonical row per (event_time) before aggregating.

Analysis rules

Group only after preserving the declared grain: event_time.

Interpretation

This is settled 15-minute demand posted hourly. For current operational or price-causation work, use series='realized' from ercot.supply_demand instead.
Do not align this interval-ending settlement series to the instantaneous supply_demand feed without first aggregating both to a compatible interval.

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.

ERCOT MCP API reference

HTTP endpoint

POST /api/v1/datasets/ercot_system_wide_demand/query

Schema4

Column

Type

event_timeDateTime64(6, 'UTC')

demand_mwNullable(Float64)

dst_flagNullable(Bool)

ingested_atDateTime64(6, 'UTC')

Sample data

event_time	demand_mw	dst_flag	ingested_at
2026-09-25 01:00:00.000000	77046.0365	false	2026-09-25 01:33:24.714433
2026-09-25 00:45:00.000000	77494.5885	false	2026-09-25 01:33:24.714433
2026-09-25 00:30:00.000000	77838.099	false	2026-09-25 01:33:24.714433
2026-09-25 00:15:00.000000	78093.0052	false	2026-09-25 01:33:24.714433
2026-09-25 00:00:00.000000	78724.2135	false	2026-09-25 01:33:24.714433
2026-09-24 23:45:00.000000	79531.0547	false	2026-09-25 01:33:24.714433
2026-09-24 23:30:00.000000	80240.9557	false	2026-09-25 01:33:24.714433
2026-09-24 23:15:00.000000	80742.7969	false	2026-09-25 01:33:24.714433
2026-09-24 23:00:00.000000	81672.8646	false	2026-09-25 01:33:24.714433
2026-09-24 22:45:00.000000	82471.6979	false	2026-09-25 01:33:24.714433
2026-09-24 22:30:00.000000	83053.0182	false	2026-09-25 01:33:24.714433
2026-09-24 22:15:00.000000	83124.3047	false	2026-09-25 01:33:24.714433
2026-09-24 22:00:00.000000	83477.9609	false	2026-09-25 01:33:24.714433
2026-09-24 21:45:00.000000	83544.1563	false	2026-09-25 01:33:24.714433
2026-09-24 21:30:00.000000	83467.625	false	2026-09-25 01:33:24.714433
2026-09-24 21:15:00.000000	83262.7786	false	2026-09-25 01:33:24.714433
2026-09-24 21:00:00.000000	82872.8464	false	2026-09-25 01:33:24.714433
2026-09-24 20:45:00.000000	82626.7969	false	2026-09-25 01:33:24.714433
2026-09-24 20:30:00.000000	82215.4141	false	2026-09-25 01:33:24.714433
2026-09-24 20:15:00.000000	81732.4427	false	2026-09-25 01:33:24.714433
2026-09-24 20:00:00.000000	81361.013	false	2026-09-25 01:33:24.714433
2026-09-24 19:45:00.000000	80860.7943	false	2026-09-25 01:33:24.714433
2026-09-24 19:30:00.000000	80485.2344	false	2026-09-25 01:33:24.714433
2026-09-24 19:15:00.000000	79769.888	false	2026-09-25 01:33:24.714433
2026-09-24 19:00:00.000000	79182.4245	false	2026-09-25 01:33:24.714433

Coverage

100.0% complete0 gap days184 days with data

Show coverage history

Coverage: 100.0%Days with data: 184Gaps: 0

2026

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Related load data

Related load data
Dataset	Description
Current Supply, Demand & Intraday ForecastERCOT · 5-minute	ERCOT's public real-time supply and demand dashboard at five-minute resolution. This is the preferred dataset for a current actual-versus-forecast demand comparison: series='realized' reports observed demand_mw and committed capacity_mw; series='intraday_forecast' reports demand_mw, capacity_mw, and available_mw for the same target event_time at successive source_time vintages; and series='forward_forecast' reports forecasted_demand_mw and avail_cap_gen_mw farther ahead. Operators, traders, and researchers use it to measure current forecast error, headroom, and how forecasts converge toward realized demand.
ERCOT Hourly Actual LoadERCOT · hourly	Actual hourly electricity demand in ERCOT, one row per hour with a system total and one column per weather zone. 119,475 hours, 2013-01 to now. Columns: system_mw plus coast_mw, east_mw, far_west_mw, north_mw, north_central_mw, south_central_mw, southern_mw, west_mw. system_mw is ERCOT's own published total, and the eight zones sum to it to within 0.03 MW — so a zone share is simply zone_mw / system_mw. Wide rather than long, so "load right now" and "the 8 weather zone shares of it" are one row, not 9. Every market's load table in this catalog shares the system_mw column and the same hourly grain, so a cross-market demand comparison needs no reshaping.
Hourly Historical System LoadERCOT · hourly	Hourly weather-zone actual-load history for ERCOT, including the eight weather zones and a system total. Use it for zonal and historical hourly analysis; for current system-wide demand and intraday forecast error, prefer Current Supply, Demand & Intraday Forecast (ercot_supply_demand). Analysts use this archive to study load shape and peaks, normalize demand against temperature, and contextualize price moves and reserve conditions. It comes from ERCOT report NP6-345-CD.
Load Forecast (MTLF)ERCOT · hourly (7-day forecast)	ERCOT's mid-term load forecast (MTLF) for the Texas grid, giving the expected electricity demand for each of the next seven days at hourly resolution. The forecast is broken out by ERCOT's eight weather zones plus a system-wide total, and a new vintage is issued every hour, so you can also see how the outlook for a given day shifts as it approaches. Operators use this to plan generation and reserves, while traders and researchers use it to anticipate price and tightness conditions and to study how forecasts evolve and where they miss. The official source is ERCOT report NP3-565-CD, Seven-Day Load Forecast by Weather Zone.