What Does the Data for This Category Look Like?
Data for energy storage intelligent due diligence reports comes primarily from publicly available grid-connected filing documents, product technical documentation from energy storage equipment manufacturers, project ledgers published by industry associations, and on-site operation and maintenance logs. Data update cadence adjusts based on project progress. Data for new projects updates alongside grid connection acceptance. Data for existing projects syncs operation and maintenance status on a quarterly basis. Most documents combine structured tables and paragraph descriptions, including fields such as project installed capacity, battery cell type, rated power, grid connection voltage level, and financial calculation sheets. Units mostly follow power industry standard units including MW, MWh, count, kV, and others.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Specialized fields and power industry-specific units for energy storage due diligence data require consistent unit verification across multi-turn dialogue, to avoid confusion between indicators such as MW and MWh. Data updates occur at a relatively high frequency. Multi-turn sessions need to support retrieval of the latest filing and operation and maintenance data. This requires configuring session context to bind the current project identifier, preventing cross-project data mix-ups. Documents have a high degree of structure. Prompt engineering needs to clearly guide the model to extract specified fields, while restricting dialogue to the current due diligence project only, to prevent introduction of irrelevant industry data. Individual due diligence reports have long document lengths. A reasonable context recall threshold needs to be configured to avoid redundant data occupying session window space.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual energy storage due diligence report documents often reach several thousand characters. Sufficient context must be retained to support multi-turn follow-up questions and field verification |
similarityTopK | Top 6–8 entries | Energy storage data has many specialized fields. A sufficient number of associated documents must be retrieved to cover due diligence questions across dimensions such as installed capacity, operation and maintenance, and finance |
sessionExpireTime | 7 days | Most due diligence project cycles fall within a weekly timeframe. Retaining 7 days of session history supports multi-turn due diligence dialogue across multiple days, while avoiding invalid sessions consuming resources |
promptTemplate | Customized for energy storage due diligence fields, with mandatory unit consistency verification | Units for energy storage indicators are easily confused such as MW and MWh. The prompt must explicitly require standard power industry units to be included in outputs |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Individual energy storage due diligence reports include multiple attachments such as operation and maintenance logs and grid-connected filing documents. Parsing takes a relatively long time |
retrievalScoreThreshold | 0.75 | Low-relevance industry general data must be filtered out, only retrieving content strongly related to the current due diligence project |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Response time exceeds 10 seconds per call during multi-turn dialogue, and some requests return 504 timeout status codes. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. Multi-attachment parsing for energy storage due diligence reports completes after the timeout threshold is triggered. - Symptom: Previous conversations cannot be resumed after several months, and calls prompt that the session does not exist or context is lost. Cause: The
sessionExpireTimeconfiguration is too short, and does not match the weekly cycle of due diligence projects. - Symptom: The model outputs mixed up energy storage capacity indicators such as MW and MWh, with incorrect field units. Cause: The prompt did not explicitly include unit verification rules, and the
promptTemplatedid not specify unit output requirements.
How to Verify Proper Configuration
- Initiate a follow-up question about the installed capacity of an energy storage project, check that the model’s output units conform to power industry standards, and confirm that the unit verification rule in the prompt is active.
- Initiate two rounds of dialogue separated by several days, verify that the session context retains core project information mentioned in previous conversations, and confirm that the session expiration configuration matches the due diligence project cycle.
- Upload an energy storage due diligence report containing multiple attachments, initiate a related question, confirm that response time meets business expectations, and verify the reasonableness of the file parsing timeout configuration.
- Retrieve logs from historical due diligence conversations, confirm that access permission validity periods meet business requirements, and verify conversation log saving configurations.
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.