Day-Ahead Load Forecast Accuracy of U.S. Balancing Authorities, 2015–2026: A Scorecard from Public EIA-930 Data (Cardinal Grid Notes, No. 1)

Balancing authorities in the contiguous United States report to the U.S. Energy Information Administration, through Form EIA-930, both the hourly demand that occurred and the day-ahead demand forecast they produced the previous day. This note scores those forecasts for the full public record, from 2015-07-01 to 2026-09-10, with explicit data-quality rules. Of 72 BAs in the files, 58 report both series and 42 are eligible for ranking. The demand-weighted day-ahead MAPE across eligible BAs is 3.56%; at the hour of the daily peak the forecast was below actual demand on 59% of eligible BA-days, a share that has increased since 2019. The highest error values are dominated by reporting problems rather than forecasting problems. Code, results and the event calendar are open. Web version: cardinalgrid.com/notes. Source and reproducible analysis: github.com/cardinalgrid/notes. Version 1.1 (2026-09-14). Corrected two source attributions in the introduction: the review of the January 2025 Arctic events (FERC/NERC, April 2025) replaces a statement attributed to the January 2024 review that the source does not contain, and the NERC 2025 Long-Term Reliability Assessment is now quoted as written. Numbers, figures and conclusions are unchanged. Version 1.2 (2026-09-14). Same content as version 1.1 (corrected source attributions in the introduction; numbers, figures and conclusions unchanged); this version prints its own DOI in the header and in the web version.

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Publication Details

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-14
DOI
https://doi.org/10.5281/zenodo.22749436
Primary Topic
Integrated Energy Systems Optimization
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article
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article

Day-Ahead Load Forecast Accuracy of U.S. Balancing Authorities, 2015–2026: A Scorecard from Public EIA-930 Data (Cardinal Grid Notes, No. 1)

Ricardo Wagner Correia Guerra Filho
Zenodo (CERN European Organization for Nuclear Research)
Integrated Energy Systems Optimization
article

Day-Ahead Load Forecast Accuracy of U.S. Balancing Authorities, 2015–2026: A Scorecard from Public EIA-930 Data (Cardinal Grid Notes, No. 1)

Ricardo Wagner Correia Guerra Filho
article en

Abstract

Balancing authorities in the contiguous United States report to the U.S. Energy Information Administration, through Form EIA-930, both the hourly demand that occurred and the day-ahead demand forecast they produced the previous day. This note scores those forecasts for the full public record, from 2015-07-01 to 2026-09-10, with explicit data-quality rules. Of 72 BAs in the files, 58 report both series and 42 are eligible for ranking. The demand-weighted day-ahead MAPE across eligible BAs is 3.56%; at the hour of the daily peak the forecast was below actual demand on 59% of eligible BA-days, a share that has increased since 2019. The highest error values are dominated by reporting problems rather than forecasting problems. Code, results and the event calendar are open. Web version: cardinalgrid.com/notes. Source and reproducible analysis: github.com/cardinalgrid/notes. Version 1.1 (2026-09-14). Corrected two source attributions in the introduction: the review of the January 2025 Arctic events (FERC/NERC, April 2025) replaces a statement attributed to the January 2024 review that the source does not contain, and the NERC 2025 Long-Term Reliability Assessment is now quoted as written. Numbers, figures and conclusions are unchanged. Version 1.2 (2026-09-14). Same content as version 1.1 (corrected source attributions in the introduction; numbers, figures and conclusions unchanged); this version prints its own DOI in the header and in the web version.

Zenodo (CERN European Organization for Nuclear Research)
OSG Consortium (US)
Affordable and clean energy
Openalex Percentile: Top 20%
Integrated Energy Systems Optimization
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Day-Ahead Load Forecast Accuracy of U.S. Balancing Authorities, 2015–2026: A Scorecard from Public EIA-930 Data (Cardinal Grid Notes, No. 1) — Ricardo Wagner Correia Guerra Filho · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS