Context

Renewable energy operators manage vast portfolios of solar farms and wind parks, where the true challenge isn’t capturing performance numbers—it’s understanding what those numbers mean. This solution uses AI‑assisted app design, Planner, and Copilot reasoning to convert raw performance, context, and deviation data into an intelligent, end‑to‑end analysis system

Challenges

Performance issues often hide behind weather conditions, operational context, or unexplained deviations. Teams struggle to identify which assets need attention, why output dropped, and how to explain gaps to non‑technical stakeholders. Manual investigation across multiple data sources slows decisions and reduces clarity.

Solution

Using Planner and AI Designer, the system automatically generates screens, logic, data models, and Copilot agents. Portfolio managers get an instant overview of expected vs actual output; analysts investigate asset‑level deviations; and Copilot provides narrative reasoning, highlights explainable vs concerning trends, and suggests targeted follow‑up actions,all powered by linked data, context tables, and automated flows.