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ISONE ISO-NE 5-Minute Zonal Load Forecast

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

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

Each row is a five-minute forecast of load in an ISO-NE load zone, tagged with the publication it came from. It is the forecast counterpart to the five-minute estimated zonal load, so the two together show how well near-term zonal forecasts held up.

What people use it for

  • See ISO-NE's near-term load outlook by zone
  • Compare zonal forecast with estimated load
  • Measure short-term forecast error by 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.

Load zones on the ISONE mapISO-NE market

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 Zonal Load Forecast 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 Zonal Load Forecast 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 Zonal Load Forecast?
Open the iso_ne.zonal_load_forecast_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 Zonal Load Forecast in plain English?
Yes. The grid agent reads this data when a question needs it, for example "what is iso-ne forecasting for load by zone", and every answer names the dataset it read.