What the data for this category looks like
Data sources for daily wind power yield and market reports include daily power generation and grid-connected settlement data collected by wind farm SCADA systems, daily on-grid electricity prices released by regional power trading centers, and daily operation and maintenance cost ledgers from project operation and maintenance platforms. Data is generated as a complete dataset for the previous day on a T+1 schedule, and pushed at a fixed time each day. Each data record includes fields such as project number, wind turbine cluster ID, statistical date, power generation, grid-connected power volume, on-grid electricity price, operation and maintenance cost, and yield calculation value. Field units are kilowatt-hours, yuan per megawatt-hour, yuan, and others. No percentage-based statistical values are included.
Constraints imposed on database and operations workflows
The daily T+1 data update schedule requires database synchronization tasks to match a fixed trigger cycle. Synchronization operations must not run during business peak hours to avoid impacting core services. Field differences across multiple data sources require unified cleaning logic. Without this, field naming conflicts or format incompatibility issues may occur. High-frequency demand for multi-dimensional joint queries requires the database to establish joint indexes covering projects, clusters, and statistical dates. Without these indexes, query delays will exceed the time sensitivity requirements of daily report broadcasts. Additionally, the stability of multi-data-source calls must be monitored. Any interrupted data source will cause missing daily report data. Automatic retry and alert mechanisms must be configured.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SYNC_CRON | 0 2 * * * | Wind power yield data is T+1 daily report. Trigger previous day's data synchronization at 2:00 AM daily to avoid business peak hours |
DB_POOL_MAX_SIZE | 50 connections | Wind power data synchronization requires calls to three types of data sources: SCADA, trading center, and operation and maintenance platform. Connection pool size is sized to support multi-source concurrent requests |
QUERY_TIMEOUT | 120 seconds | Multi-dimensional aggregate queries for daily wind power reports involve large volumes of historical data. Set a reasonable timeout to prevent query interruptions |
API_REQUEST_RETRY_TIMES | 3 retries | Network volatility for wind power data sources is relatively high. Retry mechanisms ensure complete data retrieval |
CLEANUP_EXPIRED_DATA_CRON | 0 3 1 * * | Wind power monthly archiving follows the natural month. Clean up expired temporary data from the previous month at 3:00 AM on the 1st of each month |
The parameter values provided on this page are general recommendations to use as a starting point for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to conduct testing using local operational samples before finalizing settings.
Three Common Mistakes
- Symptom: Calls to wind power data source APIs return a
429 Too Many Requestsstatus code, or yield data for some wind turbines is missing. Cause: Reasonable concurrency limits are not configured, exceeding the data source's call quota. - Symptom: Database synchronization tasks fail, with logs showing an
invalid connection stringerror. Cause: SQL Server database connection parameters are not configured correctly, and cross-source access permissions for database plugins are not enabled. - Symptom: Global variables experience data cross-contamination across multiple requests, or cached data is not cleaned on schedule, leading to elevated memory usage. Cause: Scheduled cleanup tasks for global variables are not configured, and variable scope is not limited to a single request context.
How to Verify Proper Configuration
- Run a manual data synchronization task, check whether complete wind power yield data for the previous day is generated in the database, and verify that the number of fields matches expectations.
- Initiate multiple concurrent requests to call the data interface, observe whether current-limiting errors are triggered, and adjust concurrency limit configuration items until requests return normally.
- View the database monitoring dashboard, confirm that the query hit rate of joint indexes meets expectations, and adjust index configurations based on actual hit rates.
- Trigger a temporary assignment operation for global variables, initiate multiple parallel requests, confirm that variables do not experience cross-contamination between requests, and check logs for normal execution of scheduled cleanup tasks.
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.