What This Category of Data Looks Like
Electric power industry financial report data mainly comes from listed company annual reports, publicly disclosed documents from domestic and overseas exchanges, and monthly/quarterly operation briefs released by industry regulatory authorities. Data update cycles are divided into two categories: annual complete compliant financial reports and quarterly operation briefs. Some regional grid operation data is updated monthly. Document structures mostly combine structured tables and paragraph text, including dedicated fields such as grid-connected power generation, electricity sales revenue, unit coal consumption, renewable energy installed capacity ratio, and power curtailment rate. Units mostly use industry standard measurement methods such as ten thousand kilowatt-hours, yuan/megawatt-hour, and percentage.
What Constraints These Characteristics Impose on Citation Source and Traceability
Electric power industry financial reports are often disclosed across multiple sources. The same indicator may appear in both corporate annual reports and regulatory briefs, so source priority rules must be established to ensure traceability consistency. The difference in time granularity between monthly/quarterly updated operation data and annual complete financial reports requires binding timestamps corresponding to the data cycle during traceability to avoid cross-cycle reference errors. Dedicated industry fields such as unit coal consumption and power curtailment rate must be matched with standardized field mappings during traceability to prevent traceability failure caused by field name mismatches. Under long document structures, the exact page and paragraph location of data must be pinpointed to avoid reference errors caused by traceability anchor point deviation.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 6 results | Data sources for electric power financial reports are scattered. The top 6 results can cover multiple types of authoritative data sources while avoiding redundant results interfering with traceability |
similarity_threshold | 0.75–0.85 | There are many dedicated fields in the electric power industry. This threshold can filter low-match irrelevant content and ensure the relevance of traceability results |
data_source_tagging | Enable automatic tagging | Automatically add regulatory/corporate/exchange tags to documents from different sources, facilitating quick distinction of priorities during traceability |
chunk_overlap | 150 characters | Retaining overlapping content after long document segmentation ensures that traceability anchors across segments do not break |
source_timestamp_enabled | Enabled | Bind data update timestamps to avoid referencing expired historical data |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: Search results return irrelevant electric power financial report fragments and fail to associate the correct data source. Cause: The
field_mapping_rulesindustry field mapping is not configured, causing the matching logic to mistakenly treat non-target field content as relevant results. - Phenomenon: Traceability information does not mark the data update time, or the timestamp does not match the actual data cycle. Cause: The
source_timestamp_enabledconfiguration is not enabled, or no reasonable buffer window is set, causing lagging released regulatory data to not be correctly identified. - Phenomenon: English-language electric power financial report data sources cannot be recalled. Cause: The recall scope is limited to Chinese documents only, and the multi-language matching switch is not enabled, causing English data sources to be filtered out.
How to Confirm Proper Configuration
- Submit a test query that includes dedicated fields from the electric power industry, and verify whether returned results mark the corresponding data source.
- View the data source priority settings in the configuration panel, and confirm that exchange disclosure items are ranked in the highest priority position.
- Upload a test electric power financial report document, and verify whether the system automatically adds the corresponding data source tag to it.
- Simulate cross-cycle data queries, and verify whether traceability results are bound with timestamps corresponding to the data cycle.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.