SOURCE-LINKED INTELLIGENCE
Solar Intelligence
Solar energy decision support is fragmented across dashboards that provide data without explanation, research papers are slow to parse, and general-purpose language models are not solar domain specific and answer without evidence. This paper introduces Solar Intelligence, a hybrid retrieval-augmented framework that unifies structured solar analytics, evidence-grounded scientific question answering, and machine learning forecasting in one system. The platform integrates daily NASA POWER solar and meteorological data, Biosphere 2 ground-sensor readings, and a curated corpus of research papers an
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-12T02:10:45.000Z
First collected: 2026-09-20T16:41:15.630Z. This is not the publication date.