What the data for this category looks like
Data related to energy storage yield comes primarily from public interfaces of regional power trading centers, charge-discharge and revenue and expenditure logs uploaded by local metering systems of energy storage power stations, and financial product revenue accounting interfaces. Data is generated with a daily statistical cycle, and full data for the previous cycle is updated at a fixed time each day. A single structured data entry includes fields such as unique power station identifier, statistical date, total daily charge-discharge volume, purchase and sale electricity revenue and expenditure details, and net revenue items. All field units use legal metrology units: charge-discharge volume is measured in kilowatt-hours, and revenue and expenditure items are measured in Chinese Yuan. No additional custom unit fields are included.
Constraints on forms and interactions from these characteristics
Scattered data sources require the form to support configuration items for multi-source data access, and restrict the range of accessible external interfaces to comply with compliance requirements in financial scenarios. The fixed update rhythm requires the form's scheduled pull trigger cycle to match the data update cycle, to avoid pulling data before it is generated or repeated pulls. Multiple fields and clear unit requirements mean the form needs built-in field verification rules, to restrict input value types and ensure unit consistency, and prevent calculation deviations caused by manual input errors. Structured data format requirements mean the form must support automatic field mapping, reduce the error probability of manual configuration, and be compatible with differences in field naming across different data sources.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Adapts to batch upload requirements for single-batch energy storage power station daily report data, avoids parsing timeouts caused by overly large single imported data sets |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Matches the parsing time of energy storage daily report data, covers processing duration for multi-field mapping and format verification |
DATA_SOURCE_WHITELIST | ["electricity_trade_api", "storage_scada_api"] | Restricts accessible data source types, complies with compliant access requirements for financial scenarios |
FIELD_MAPPING_RULE | Fuzzy matching by field name + mandatory unit verification | Adapts to field naming conventions for energy storage daily report data, avoids errors from manual mapping |
SCHEDULE_TRIGGER_INTERVAL | 86400 seconds | Matches the daily update rhythm of energy storage daily reports, ensures the scheduled pull cycle aligns with the data update cycle |
INPUT_UNIT_VALIDATION | Enabled | Verifies unit consistency of user-input charge-discharge volume and revenue and expenditure data, prevents calculation deviations caused by unit confusion |
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 settings.
Three Common Configuration Mistakes
- Symptom: External data source interface call returns
403 Forbiddenstatus code. Cause: The corresponding data source IP or interface identifier is not added to theDATA_SOURCE_WHITELISTconfiguration item. - Symptom: Some fields in batch-imported daily report data are empty. Cause: The mandatory matching rule for
FIELD_MAPPING_RULEis not configured, causing unrecognized fields to not be automatically populated. - Symptom: Associated database cannot be written after form submission. Cause: Database connection parameters such as
DB_HOSTandDB_PORTare not correctly configured, or the corresponding account does not have read and write permissions.
How to Verify Configurations Are Correct
- Manually import a standard energy storage daily report data set, check that field mapping is automatically matched and no error prompts are displayed.
- Configure a scheduled trigger task, wait for one data update cycle, and check whether the system automatically pulls the latest daily report data.
- Test input test data with invalid units, check whether the system triggers unit verification prompts.
- Call the configured data source interface, check that the returned status code and data format meet preset requirements.
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.