NYISO Hourly Actual Load

Actual hourly electricity demand in NYISO, one row per hour with a system total and one column per load zone.

Load data NYISO market

Query with the agent

Native record

one row per operating hour, wide by sub-area

hourly publication cadence

Evidence

Observed market data

Published observations from the named source

Time basis

Interval-start records

UTC · event_time

Overview

101,978 hours, 2015-01 to now. Columns: system_mw plus west_mw, genesee_mw, central_mw, north_mw, mohawk_valley_mw, capital_mw, hudson_valley_mw, millwood_mw, dunwoodie_mw, nyc_mw, long_island_mw. system_mw is DERIVED as the sum of the eleven zones — NYISO's hourly integrated-load feed publishes no state total. It is therefore true by construction and is not independent corroboration of the zones. Wide rather than long, so "load right now" and "the 11 load zone shares of it" are one row, not 12. 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.

Query contract

One row is the canonical hourly value; the refresh already collapsed the source's restatements. Read the hour you want and use its columns together.

Analysis rules

Take every value for one hour from that hour's single row. Never combine a system total from one hour with area values from another.
An area's share of demand is <area>_mw / system_mw within the same row. Do not sum the 11 area columns and system_mw together — that double-counts the whole market.

Interpretation

system_mw is derived by summing the area columns, so the identity system_mw = sum(areas) proves nothing about either. Do not present it as an independent cross-check.
Hourly values are interval averages, not instantaneous readings. An hourly average and a five-minute snapshot at the same timestamp are different quantities and will differ; that is not an error in either.

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.

NYISO MCP API reference

HTTP endpoint

POST /api/v1/datasets/nyiso_load/query

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

Schema13

Column

Type

event_timeDateTime64(6, 'UTC')

system_mwNullable(Float64)

west_mwNullable(Float64)

genesee_mwNullable(Float64)

central_mwNullable(Float64)

north_mwNullable(Float64)

mohawk_valley_mwNullable(Float64)

capital_mwNullable(Float64)

hudson_valley_mwNullable(Float64)

millwood_mwNullable(Float64)

dunwoodie_mwNullable(Float64)

nyc_mwNullable(Float64)

long_island_mwNullable(Float64)

Sample data

event_time	system_mw	west_mw	genesee_mw	central_mw	north_mw	mohawk_valley_mw	capital_mw	hudson_valley_mw	millwood_mw	dunwoodie_mw	nyc_mw	long_island_mw
2026-10-12 06:00:00.000000	12597.7294	1351.1007	802.3219	1315.4936	519.7945	629.7905	1015.4515	835.2363	173.303	458.7851	3970.2247	1526.2276
2026-10-12 05:00:00.000000	12902.026100000001	1376.1736	816.0203	1346.4871	519.0036	635.8809	1026.3665	855.8043	179.4944	475.7162	4095.0875	1575.9917
2026-10-12 04:00:00.000000	13378.228200000001	1411.5186	837.0631	1370.8687	537.5866	655.2466	1057.3791	882.846	196.0539	491.1878	4273.8982	1664.5796
2026-10-12 03:00:00.000000	13919.907700000002	1446.2604	873.3636	1416.679	520.5678	685.5149	1092.6011	919.2961	206.1867	510.0014	4480.5527	1768.884
2026-10-12 02:00:00.000000	14692.6446	1489.5512	932.4686	1485.8839	534.5994	732.4158	1149.6422	984.5406	224.5818	537.4811	4722.5366	1898.9434
2026-10-12 01:00:00.000000	15418.473699999999	1538.3885	983.1907	1562.7004	540.0619	781.8687	1222.7819	1048.6629	242.3452	562.4308	4933.9436	2002.0991
2026-10-12 00:00:00.000000	16016.482699999999	1586.9385	1025.9323	1614.4083	545.7456	819.8942	1295.8011	1100.3049	257.0408	584.4949	5085.4651	2100.457
2026-10-11 23:00:00.000000	16480.114700000002	1616.0462	1058.5062	1667.62	567.466	851.5079	1341.0787	1142.1279	259.4869	599.1129	5206.8867	2170.2753
2026-10-11 22:00:00.000000	16661.870500000005	1598.1868	1066.208	1694.7778	570.6813	864.4947	1375.184	1169.2014	267.6411	600.0436	5251.4163	2204.0355
2026-10-11 21:00:00.000000	16446.2202	1569.8706	1053.7734	1645.8486	574.887	845.159	1364.2053	1156.0618	266.3295	591.7424	5216.2614	2162.0812
2026-10-11 20:00:00.000000	16041.3435	1554.7818	1009.8544	1588.569	566.3402	802.8632	1320.9441	1129.4826	262.2472	578.7641	5136.4251	2091.0718
2026-10-11 19:00:00.000000	15651.883699999998	1511.6112	963.7383	1501.4666	547.9154	757.7631	1276.4312	1108.2214	259.8685	571.6689	5107.5965	2045.6026
2026-10-11 18:00:00.000000	15400.171199999999	1452.2713	915.4695	1479.0825	534.5407	725.1797	1233.7677	1094.869	258.6119	573.3418	5087.5425	2045.4946
2026-10-11 17:00:00.000000	15264.315200000001	1449.6803	915.722	1461.39	527.7489	695.6044	1196.7623	1075.8464	258.7834	574.0405	5074.3263	2034.4107
2026-10-11 16:00:00.000000	15068.2567	1457.4427	913.5492	1441.2205	521.0054	656.2411	1180.451	1035.8457	251.0684	565.0414	5034.3915	2011.9998
2026-10-11 15:00:00.000000	14829.1986	1467.9438	928.4467	1421.8533	518.9468	661.7078	1162.4158	990.4875	243.7669	548.9773	4940.7689	1943.8838
2026-10-11 14:00:00.000000	14587.658800000001	1419.3563	890.4039	1425.6886	533.5954	698.0898	1183.7691	986.1143	243.5576	532.3948	4807.6984	1866.9906
2026-10-11 13:00:00.000000	14270.418300000001	1377.2986	879.941	1448.9096	547.4456	729.009	1173.7186	976.2758	232.5869	509.9299	4625.8128	1769.4905
2026-10-11 12:00:00.000000	13819.461899999998	1339.9974	882.165	1425.9089	557.8859	738.4245	1162.2984	932.1523	213.7193	481.2957	4404.7999	1680.8146
2026-10-11 11:00:00.000000	13315.6411	1330.523	864.7764	1387.1928	558.4995	716.2011	1129.8389	878.8321	194.8136	457.8669	4193.7836	1603.3132
2026-10-11 10:00:00.000000	12895.3847	1342.7967	825.46	1345.278	549.4605	688.3777	1083.9256	831.2144	182.1937	444.7712	4056.7089	1545.198
2026-10-11 09:00:00.000000	12502.3209	1313.8744	796.4101	1298.5393	542.4019	656.2657	1050.7735	798.0363	175.7983	426.7928	3949.5821	1493.8465
2026-10-11 08:00:00.000000	12392.921199999999	1319.5631	782.2648	1298.748	540.6002	640.2108	1035.6333	785.6482	173.9383	419.6185	3921.0388	1475.6572
2026-10-11 07:00:00.000000	12433.5761	1316.2587	783.577	1291.7439	535.4704	633.8974	1036.7775	791.0673	177.0403	426.7495	3958.7856	1482.2085
2026-10-11 06:00:00.000000	12641.1591	1324.2808	796.0839	1309.1159	532.8036	640.7432	1043.7848	804.7785	179.9574	441.8451	4047.5952	1520.1707

Coverage

100.0% complete0 gap days9,245 days with data

Show coverage history

Coverage: 100.0%Days with data: 9,245Gaps: 0

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Related load data

Related load data
Dataset	Description
Day-Ahead Zonal Bid LoadNYISO · hourly (DAM)	NYISO day-ahead zonal bid-load components by zone: energy bid load, bilateral load, price-cap load, virtual load, and virtual supply. Use it to compare bid-in demand with forecasts and realized load.
Five-Minute Actual LoadNYISO · 5-minute	NYISO preliminary real-time actual load by load zone at five-minute resolution. This is the higher-cadence load series for intraday grid movement, while hourly integrated actual load remains the settlement-quality hourly view.
Hourly Actual LoadNYISO · hourly	NYISO integrated actual load by load zone at hourly resolution. The table covers the eleven NYISO zones and is the settlements-grade actual-load series used by the NYISO map cards; system actual load is computed by summing the zone rows.
Load ForecastNYISO · hourly forecast	NYISO P-7 hourly no-losses load forecast by load zone plus a NYISO system-total row. source_time is the file's actual publication timestamp, not its delivery-day filename; use the last pre-operating-day vintage for a settled forecast comparison and the latest available vintage for future hours.