arxiv
PublishedJune 6, 2026 at 4:00 AM
Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting
Publisher summary· verbatim
arXiv:2606.06102v1 Announce Type: new Abstract: Ultra-short-term solar irradiance prediction is critical for photovoltaic system dispatch and power grid stability. Existing approaches suffer from three key shortcomings: single time-series models cannot capture the spatial dynamics of clouds under co
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivADS-C: Antidistillation Sampling for Classification14harxivDo Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?14harxivBeyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes14harxivFrom Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems14hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗