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Real-Time Net Scheduled Interchange Delta

MISO system-wide forward and real-time net scheduled interchange in MW and the published delta between them.

Native record
event_time
hourly publication cadence
Evidence
Observed market data
Published observations from the named source
Time basis
Point-in-time records
UTC · event_time

Overview

These are schedules, not metered tie-line flows.

Query contract

Preserve one canonical row per (event_time) before aggregating.

Analysis rules

  • Group only after preserving the declared grain: event_time.

Related analysis

  • scheduled versus actual net interchange · same America/Chicago operating hour

Interpretation

  • forward_mw and real_time_mw are successive scheduled interchange positions, not metered tie-flow observations. Their delta can establish that the real-time schedule differed from the forward schedule; it cannot by itself establish a physical import loss, interchange disruption, or causal trigger.

Access

Query from your own tools

Use the guarded HTTP endpoint directly, or connect an MCP client and load the dataset contract with describe_data before calling query_data.

HTTP endpoint
POST /api/v1/datasets/miso_interchange_net_scheduled_realtime_delta/query

Schema7

Column
Type
event_timeDateTime64(6, 'UTC')
nsi_forward_mwNullable(Float64)
nsi_real_time_mwNullable(Float64)
nsi_delta_mwNullable(Float64)
datetime_localNullable(String)
market_dateNullable(Date32)
ingested_atDateTime64(6, 'UTC')

Sample data

event_timensi_forward_mwnsi_real_time_mwnsi_delta_mwdatetime_localmarket_dateingested_at
2026-09-27 04:00:00.0000001379345520762026-09-26T23:00:002026-09-262026-09-27 20:41:05.453182
2026-09-27 04:00:00.0000001379345520762026-09-26T23:00:002026-09-262026-09-27 19:41:07.288916
2026-09-27 04:00:00.0000001379345520762026-09-26T23:00:002026-09-262026-09-27 18:41:06.971750
2026-09-27 03:00:00.0000002056362515692026-09-26T22:00:002026-09-262026-09-27 20:41:05.453182
2026-09-27 03:00:00.0000002056362515692026-09-26T22:00:002026-09-262026-09-27 19:41:07.288916
2026-09-27 03:00:00.0000002056362515692026-09-26T22:00:002026-09-262026-09-27 18:41:06.971750
2026-09-27 02:00:00.0000002385388414992026-09-26T21:00:002026-09-262026-09-27 20:41:05.453182
2026-09-27 02:00:00.0000002385388414992026-09-26T21:00:002026-09-262026-09-27 19:41:07.288916
2026-09-27 02:00:00.0000002385388414992026-09-26T21:00:002026-09-262026-09-27 18:41:06.971750
2026-09-27 01:00:00.000000306838017332026-09-26T20:00:002026-09-262026-09-27 20:41:05.453182
2026-09-27 01:00:00.000000306838017332026-09-26T20:00:002026-09-262026-09-27 19:41:07.288916
2026-09-27 01:00:00.000000306838017332026-09-26T20:00:002026-09-262026-09-27 18:41:06.971750
2026-09-27 00:00:00.000000389744015042026-09-26T19:00:002026-09-262026-09-27 20:41:05.453182
2026-09-27 00:00:00.000000389744015042026-09-26T19:00:002026-09-262026-09-27 19:41:07.288916
2026-09-27 00:00:00.000000389744015042026-09-26T19:00:002026-09-262026-09-27 18:41:06.971750
2026-09-26 23:00:00.00000038623907452026-09-26T18:00:002026-09-262026-09-27 20:41:05.453182
2026-09-26 23:00:00.00000038623907452026-09-26T18:00:002026-09-262026-09-27 19:41:07.288916
2026-09-26 23:00:00.00000038623907452026-09-26T18:00:002026-09-262026-09-27 18:41:06.971750
2026-09-26 22:00:00.00000029082988802026-09-26T17:00:002026-09-262026-09-27 20:41:05.453182
2026-09-26 22:00:00.00000029082988802026-09-26T17:00:002026-09-262026-09-27 19:41:07.288916
2026-09-26 22:00:00.00000029082988802026-09-26T17:00:002026-09-262026-09-27 18:41:06.971750
2026-09-26 21:00:00.000000189025556652026-09-26T16:00:002026-09-262026-09-27 20:41:05.453182
2026-09-26 21:00:00.000000189025556652026-09-26T16:00:002026-09-262026-09-27 19:41:07.288916
2026-09-26 21:00:00.000000189025556652026-09-26T16:00:002026-09-262026-09-27 18:41:06.971750
2026-09-26 20:00:00.000000171821354172026-09-26T15:00:002026-09-262026-09-27 20:41:05.453182

Coverage

66.3% complete583 gap days1,148 days with data
Show coverage history
Coverage: 66.3%Days with data: 1,148Gaps: 583
2026
2025
2024
2023
2022
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