How is iDBQuery used in renewable energy?
Renewable energy operators use iDBQuery to ask plain-language questions across generation, asset performance, maintenance and financial data, getting cited answers in seconds without SQL. It builds one live model across SCADA exports, databases and spreadsheets so teams track yield, availability and returns without pipelines.
Solar, wind and storage operators track output and asset health across SCADA exports, monitoring platforms, maintenance systems and project-finance models. iDBQuery unifies them into one live model so asset managers, O&M and finance ask plain-language questions and get a cited answer.
Examples:
- What is energy yield and performance ratio by site versus P50 forecast?
- Show availability and downtime causes by turbine or inverter.
- Which assets are underperforming their expected generation this month?
- What is revenue and IRR by project versus the financial model?
- How do curtailment losses vary by site and season?
iDBQuery ingests generation exports, maintenance databases, CSVs and finance spreadsheets together with no ETL, joins them, and cites each figure back to source so investor and lender reporting is trustworthy. The Analyst agent can investigate a yield shortfall autonomously and produce a shareable report.
Deployment is flexible: cloud, your own VPC, or the Desktop app with query-in-place to keep operational and commercial data local, useful for remote sites and sensitive project-finance data. The differentiator over generic BI is that a lean operator gets instant, fleet-wide answers across every asset and system at once, each figure traceable to the source reading.
Updated 2026-06-22