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PJM Capacity Auction Results (RPM Base Residual Auction)

PJM's Base Residual Auction results workbook for each delivery year from 2020/2021: resource clearing prices by LDA with their system marginal price and locational adders, load capacity prices, RPM parameters, and capacity transfer rights, in $/MW-day and MW.

atg.pjm_report_rpm_bra_resultsPrices dataPJM market
One row per
publisher period x document x sheet/archive member x source row x collected revision
Publisher snapshot cadence
Evidence
Mixed evidence
Multiple evidence types kept distinct in the contract
Time basis
Date-labelled records
UTC · report_date

Overview

Each row preserves a publisher record, workbook row, or report document with its source member and row index. Source timestamps, units, geographic scope, and revision qualifiers are retained in record_json; event_time is collection time; completed_at is when the entire document became available.

Query contract
The view admits a document only when its completion record and exact mirrored row count agree. Select a report_date, source_url and source_sha256 revision before joining source_member and row_index. Interpret observation times from the source record, never from the collection clock.
Analysis rules
Decode the report's source headers and units before aggregating. Never sum report_date, row_index, snapshots, revisions, regional totals and components, or forecast vintages.
Interpretation
report_date identifies the requested publisher period. It is not an observation timestamp. event_time records collection, not source publication or delivery.The serving mirror keeps the latest row for each publisher record; older collected revisions may no longer be queryable.

Access

Plans
See available download and API access options. View pricing
MCP
Connect an MCP client and load the contract with describe_data before calling query_data.PJM MCPAPI reference
HTTP endpoint
POST /api/v1/datasets/pjm_report_rpm_bra_results/query
Full history
Delivered to Snowflake, Databricks or your own storage on a schedule by Data services.
More coverage

Schema

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Sample data

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Coverage

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