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ISONE ISO-NE Hourly System Load Forecast

ISO-NE's hourly system load and net-load forecast, with the publication time kept for every forecast vintage.

Published by ISO-NE Web Services (opens in a new tab)Cadence: hourly forecast vintagesLoadISO-NE market

About this data

Each row is ISO-NE's forecast of system load and net load for an hour, tagged with when it was published. Successive vintages for the same hour are kept, so the data shows both the latest outlook and how earlier forecasts compared with what happened.

What people use it for

  • See ISO-NE's expected demand for coming hours
  • Track how forecasts change over time
  • Compare forecast with actual load

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. 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 Hourly System 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 Hourly System 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 Hourly System Load Forecast?
Open the iso_ne.load_forecast_hourly 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 Hourly System Load Forecast in plain English?
Yes. The grid agent reads this data when a question needs it, for example "what is iso-ne's load forecast for tomorrow", and every answer names the dataset it read.