Automated Utility Bill Data Extraction and Analysis for Energy Management
Research summary
Parallel extraction paths with discrepancy review for varied utility bills.
Research record
This record preserves the title and author order of the supplied manuscript. Its research stage remains separate from the existence of a PDF or conference-formatted layout.
Evaluation results, cohort definitions, limitations, and source locators are maintained in the related project. This record does not duplicate the project metrics.
Evaluation Scope & Methodology
Samples, denominators, uncertainty, sources and limits
Approach
Publish dataset composition separately from extraction claims; exclude illustrative agreement and scanned accuracy values from empirical charts.
Results and scope belong to the related case study, Utility bills to reviewed structured data.
Cohorts and samples
| Cohort | Sample | Definition |
|---|---|---|
| Utility-bill dataset | 440 bills | 300 digital, 140 scanned; provider counts 230, 70, 70, 70. |
Reported measures
| Measure | Unit | Cohort | Denominator | Uncertainty | Evidence |
|---|---|---|---|---|---|
| Document format composition | Count | Utility-bill dataset | 440 bills in Table 1 | None reported | Reported in source |
| Provider composition | Count | Utility-bill dataset | 440 bills in Table 1; provider labels anonymized by the manuscript | None reported | Reported in source |
Limitations
- Scanned-document performance in Table 3 is estimated or illustrative, not a measured result.
- Pre-resolution agreement rates in Table 2 are explicitly illustrative.
- Measured scanned-field ground truth and extraction logs are not supplied.
- The digital result needs a verified field-level denominator before a public accuracy chart.
- No measured time-savings result is established.
Sources
- Automated Utility Bill Data Extraction and Analysis for Energy Management, Table 1; Table 2 qualification; Table 3 qualification; evaluation text (Supplied manuscript reviewed November 2026). Public release pending
Cite this record
Asif Faisal Chowdhury, Sueed Willoughby, Chao Wang. Automated Utility Bill Data Extraction and Analysis for Energy Management. Manuscript, 2026.
Formatted from the supplied manuscript. Publisher metadata has not been verified, so no BibTeX is offered yet.