MISO logo

MISO Day-Ahead Cleared Generation

Hourly MISO day-ahead cleared supply by region, split into physical and virtual segments.

Published by MISO Data Exchange (opens in a new tab)Cadence: hourly (Day-Ahead)GenerationMISO market

About this data

Each row is the supply that cleared MISO's day-ahead market in one hour for one region and segment. Virtual supply is a financial position, so it should not be added to physical generation. Use the physical segment to see how much real generation cleared the day-ahead auction.

What people use it for

  • See day-ahead cleared supply by MISO region
  • Separate physical from virtual supply
  • Compare cleared supply across hours of the day

TermsDay-ahead vs. real-time markets

Where to use it

In Ask the Grid

Ask about it, see it live

The grid agent reads it to answer questions about MISO. 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

Loading…

Questions

Which data provider has MISO Day-Ahead Cleared Generation data?
Ask the Grid has it, from MISO Data Exchange. 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 MISO Day-Ahead Cleared Generation come from?
It comes from MISO Data Exchange. This page links to the original publication, so any value can be checked against it.
How do I download or query MISO Day-Ahead Cleared Generation?
Open the miso.generation_cleared_day_ahead 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 MISO Day-Ahead Cleared Generation in plain English?
Yes. The grid agent reads this data when a question needs it, for example "how much generation cleared miso's day-ahead market yesterday", and every answer names the dataset it read.