Node Average
Hourly DA/RT LMP averages across multiple days (1-60)
Help & Information
Overview
View averaged hourly LMP data for a pricing node across multiple days (up to 60). Each hour shows the average DA, RT, and spread values across all selected days.
Selectors
- Pricing Node: Type to search (predictive autocomplete) or pick from the list. The name must exist β unknown names are rejected
- End Date: The most recent date to include
- Days: Number of days to average (1-60), counting back from end date
Table Columns
- HE: Hour Ending (1-24)
- DA LMP: Average Day-Ahead total LMP across selected days
- RT LMP: Average Real-Time total LMP across selected days
- Spread: Average DA - RT price difference
- DA CC: Average Day-Ahead congestion component
- RT CC: Average Real-Time congestion component
- INC Win%: Per hour, the percent of loaded days an INC would win, with the number of winning days in parentheses (win = DA > RT; the cell tooltip carries the win/lose/tie counts). Only days with both DA and RT published count — RT-gap days are excluded rather than scored as wins
- INC σ: Sample standard deviation of the daily DA − RT spread ($/MWh) for that hour — the day-to-day volatility behind the average; needs at least 2 paired days
- Β°F / mph: Average temperature and wind at the node's nearest NOAA airport (zone-level; sparse coverage shows a dash)
- N Β°F / S Β°F / IL Β°F / IN Β°F / MI Β°F / AR Β°F: Average footprint-wide reference temperatures (identical across nodes) β MISO North (Minneapolis, KMSP) and South (New Orleans, KMSY) beside the node-local Β°F; Illinois (Chicago, KORD), Indiana (Indianapolis, KIND), Michigan (Detroit, KDTW) and Arkansas (Little Rock, KLIT) hubs at the right
- DA Ld / RT Ld: Average MISO system day-ahead forecast vs actual load in GW (EIA-930) β system-wide, identical across nodes
- CC La: Average MISO system committed capacity in GW (CsatSupplyDemand) β system-wide, identical across nodes; archive starts 2026-09-08, so days before it do not count toward the mean
Load Options
- Consecutive: the last N calendar days
- Weekdays: the last N Mon-Fri days, weekends skipped
- Same Day: the last N of the end date's weekday (7 Fridays, 43 Fridays, β¦) β so N days spans roughly N weeks, and a node commissioned recently will not have that much history
When Fewer Days Come Back Than You Asked For
Dates the node has no data for are dropped, and the Days card then reads loaded / requested with an amber note saying why β the node's own first and last market date, how many requested dates fall outside it, and any gaps inside it. It is a fact about the node's history, not a cap on the selector.
Use Case
Useful for identifying hourly patterns and typical spreads at a node. Averaging multiple days smooths out daily volatility to reveal trends.