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News/Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
arxiv
PublishedJuly 21, 2026 at 4:00 AM
▲bullish

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2411.10921v2 Announce Type: replace Abstract: Accurate forecasts of distributed solar generation are necessary to maintain grid stability amid the increased uptake of distributed solar photovoltaic (PV) systems. However, the high variability of solar generation over short time intervals (secon

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Mentioned models
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  • 01
    Convolutional Long Short-Term Memory Network
  • 02
    Self-Attention-Based Video Prediction Method
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arxiv
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Tags
04
#machine-learning#computer-vision#renewable-energy#forecasting

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Mentioned models
02
  • 01
    Convolutional Long Short-Term Memory Network
  • 02
    Self-Attention-Based Video Prediction Method
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#computer-vision#renewable-energy#forecasting

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arxivWhen Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems14harxivQuery-Driven Learning for Lifted Reasoning14harxivThe Social World Model Evaluation Gap14h
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