ISONE ISO-NE Hourly Reserve Prices and Requirements (Preliminary)
Preliminary hourly ISO-NE real-time clearing prices for TMSR, TMNSR and TMOR with designated MW by reserve zone, published ahead of final results.
About this data
Each row is one reserve zone and one hourly operating-reserve interval, as ISO-NE first publishes it. It carries clearing prices and designated MW for ten-minute spinning, ten-minute non-spinning and thirty-minute operating reserve. Preliminary values can be revised, so this is the timely series for live monitoring, while the final series is the one to use after the day has settled.
What people use it for
- Monitor New England reserve prices close to real time
- Spot reserve scarcity before final results post
- Compare preliminary with final reserve prices
Where to use it
In Ask the Grid
Ask about it, see it live
In ATG Data
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Latest data
Questions
- Which data provider has ISONE ISO-NE Hourly Reserve Prices and Requirements (Preliminary) 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 Reserve Prices and Requirements (Preliminary) 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 Reserve Prices and Requirements (Preliminary)?
- Open the iso_ne.reserve_price_hourly_prelim 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 Reserve Prices and Requirements (Preliminary) in plain English?
- Yes. The grid agent reads this data when a question needs it, for example "what are iso-ne reserve prices this hour", and every answer names the dataset it read.
