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ISONE ISO-NE 5-Minute Estimated Zonal Load

ISO-NE five-minute estimated load for each New England load zone.

Published by ISO-NE Web Services (opens in a new tab)Cadence: ISO-NE source publicationLoadISO-NE market

About this data

Each row is a five-minute estimate of load in an ISO-NE load zone. It gives a fine-grained view of how demand moves across New England's zones within the day, as an estimate rather than the settled hourly figure.

What people use it for

  • Follow demand by New England zone through the day
  • Compare zones at five-minute resolution
  • Spot fast ramps in a zone

Where to use it

In Ask the Grid

Ask about it, see it live

The grid agent reads it to answer questions about ISO-NE, and the map draws it as a layer. Every answer names the data it read and links back here.

In ATG Data

Build with the full table

Schema, full history, coverage and query rules live in Data, where you can browse every row, run SQL and connect it to your own code.

Plans and access

Latest data

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Questions

Which data provider has ISONE ISO-NE 5-Minute Estimated Zonal Load data?
Ask the Grid has it, from ISO-NE Web Services. You can browse every row in Ask the Grid Data, query it with SQL or the Ask the Grid API, reach it from an AI assistant over MCP, or ask the grid agent about it in plain English.
Where does ISONE ISO-NE 5-Minute Estimated Zonal Load come from?
It comes from ISO-NE Web Services. This page links to the original publication, so any value can be checked against it.
How do I download or query ISONE ISO-NE 5-Minute Estimated Zonal Load?
Open the iso_ne.zonal_load_5m table in Ask the Grid Data to browse every row and run SQL against it, call it from code through the Ask the Grid API, or connect an MCP client. Full history can be delivered on a schedule to Snowflake, Databricks or your own storage.
Can I ask questions about ISONE ISO-NE 5-Minute Estimated Zonal Load in plain English?
Yes. The grid agent reads this data when a question needs it, for example "what is iso-ne load by zone right now", and every answer names the dataset it read.