Real-Time 5-Minute LMP (Unverified)

Locational marginal prices from PJM's real-time energy market, published every five minutes for each pricing node (pnode) before settlement verification.

Prices data PJM market

Query with the agent Open on map

Native record

pricing node x 5-minute interval after revision collapse

5-minute publication cadence

Evidence

Observed market data

Published observations from the named source

In Ask the Grid

LMP nodes on the PJM map

Values for the live grid surface

Overview

Each row carries total LMP plus congestion and marginal-loss components in dollars per MWh. Components support node-level price decomposition, but price differences do not identify a named binding facility or prove topology. This is the freshest PJM price feed; use the settled hourly feed for the verified record published roughly 18 hours later. Point classes span transmission zones, trading hubs, external interfaces, and aggregate nodes. Source: PJM Market Data.

Query contract

Use argMax(value, ingested_at) per pricing node and interval.

Analysis rules

Group only after preserving the declared grain: event_time, pnode_id.

Related analysis

diagnose live reserve scarcity during an energy price episode · Match five-minute event_time; select one reserve area and product. Report shortage_indicator with reserve_quantity and reserve_requirement. Dispatch and pricing runs differ; do not reconstruct energy LMP or infer a unit trip from these rows.

Interpretation

To find a pnode by name, or to label pnode_ids, read atg.pjm_locations (location_id = toString(pnode_id), name, kind) rather than deriving pnode_name from this price table: `SELECT location_id, name, kind FROM atg.pjm_locations WHERE positionCaseInsensitive(name, 'CARDINAL') > 0`. Then filter the prices on pnode_id.

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.

PJM MCP API reference

HTTP endpoint

POST /api/v1/datasets/pjm_rt_unverified_fivemin_lmps/query

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

Schema8

Column

Type

event_timeDateTime64(6, 'UTC')

pnode_idLowCardinality(String)

pnode_nameNullable(String)

pnode_typeNullable(String)

total_lmpNullable(Float64)

congestion_priceNullable(Float64)

marginal_loss_priceNullable(Float64)

ingested_atDateTime64(6, 'UTC')

Sample data

event_time	pnode_id	pnode_name	pnode_type	total_lmp	congestion_price	marginal_loss_price	ingested_at
2026-10-12 07:50:00.000000	98370535	BEAVER 13.8 KV WL60	BUS	16.56	0.8	-0.13	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370533	BEAVER 13.8 KV WL50	BUS	16.57	0.8	-0.12	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370531	BEAVER 13.8 KV WL40	BUS	16.57	0.8	-0.12	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370529	BEAVER 13.8 KV WL30	BUS	16.57	0.8	-0.12	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370527	BEAVER 13.8 KV WL20	BUS	16.57	0.8	-0.12	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370525	BEAVER 13.2 KV WL-A	BUS	16.56	0.8	-0.13	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370523	BEAVER 13.2 KV WL-B	BUS	16.56	0.8	-0.13	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370505	ROBERTOE138 KV GENDUMMY	BUS	17.31	1	0.42	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370497	NILES 14 KV CT	BUS	16.11	0.68	-0.46	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370491	NEWCASOE14 KV G4	BUS	15.82	0.39	-0.46	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370489	NEWCASOE14 KV G3	BUS	15.74	0.36	-0.51	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370487	NEWCASOE16 KV G5	BUS	15.82	0.39	-0.46	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370485	NEWCASOE23 KV EMDS-B	BUS	15.83	0.39	-0.45	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370483	NEWCASOE23 KV EMDS-A	BUS	15.83	0.39	-0.45	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370477	DAVISBES25 KV DB10	BUS	16.49	0.83	-0.23	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370469	MTNROAD 35 KV HENRICLF	BUS	18.01	1.74	0.38	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370467	09YANKEE12.5 KV YANKESP	BUS	17.17	1.02	0.26	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370465	VIRGINIA25 KV VACTYG1	BUS	16.35	1.17	-0.71	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370463	MEADOWL434.5 KV MEDLK4WF	BUS	16.25	1.02	-0.66	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370461	MEADOWLK34.5 KV MEDLK3WF	BUS	16.25	1.02	-0.66	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370459	MEADOWLK34.5 KV MEDLK2WF	BUS	16.25	1.02	-0.66	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370457	CROOKSVI138 KV SUBURBLF	BUS	16.96	0.98	0.09	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370455	THIRTYST34.5 KV CHSTNTWF	BUS	14.49	-1.53	0.13	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370453	EAGLEVAL34.5 KV SANRIGWF	BUS	14.51	-1.65	0.27	2026-10-12 07:56:25.323831
2026-10-12 07:50:00.000000	98370449	EFLEMING35 KV FRNCHSP	BUS	11.64	-4.13	-0.12	2026-10-12 07:56:25.323831

Coverage

100.0% complete0 gap days99 days with data

Show coverage history

Coverage: 100.0%Days with data: 99Gaps: 0

2026

gaplessmore

Related prices data

Related prices data
Dataset	Description
Day-Ahead Hourly LMPPJM · hourly (day-ahead)	Cleared day-ahead locational marginal prices for each PJM pricing node by delivery hour, with total LMP and its system-energy, congestion, and marginal-loss components in dollars per MWh. The table supports the posted next-day hourly curve, day-ahead-to-real-time basis, and node-level component attribution. A congestion component does not by itself identify which facility is expected to bind or establish a node-to-constraint relationship. Source: PJM Market Data.
PJM Day-Ahead PricesPJM · hourly	PJM day-ahead locational marginal prices, one row per interval and location. 1.00B rows, 2018-01 to the next delivery day. Carries price_usd_mwh plus energy_usd_mwh, congestion_usd_mwh and loss_usd_mwh. Locations are load, generator, aggregate, bus, interface, zone, hub; location_id joins atg.pjm_locations for the readable name, and kind is carried inline so a hub-only or zone-only question needs no join at all. Every market's day-ahead price table in this catalog has these same column names, so a cross-market price comparison is a UNION rather than a per-ISO rewrite. Revisions are already collapsed — read it plainly.
PJM Real-Time PricesPJM · hourly	PJM real-time locational marginal prices, one row per interval and location. 991.1M rows, 2018-01 to now. Carries price_usd_mwh plus energy_usd_mwh, congestion_usd_mwh and loss_usd_mwh. Locations are load, generator, aggregate, bus, interface, zone, hub; location_id joins atg.pjm_locations for the readable name, and kind is carried inline so a hub-only or zone-only question needs no join at all. Every market's real-time price table in this catalog has these same column names, so a cross-market price comparison is a UNION rather than a per-ISO rewrite. Revisions are already collapsed — read it plainly.
Real-Time Hourly LMP (Verified)PJM · hourly (settled ~18h lag)	PJM's verified real-time locational marginal prices at hourly granularity for every pricing node, with total LMP and its system-energy, congestion, and marginal-loss components in dollars per MWh. These are the settled, authoritative real-time prices — published on roughly an 18-hour lag behind the operating hour — and history reaches back to 2018, making this the table for real-time price history, day-over-day basis, and volatility studies. For prices in the current hour use the unverified 5-minute feed instead. Source: PJM Market Data.