Solar-VLM fuses time-series, satellite imagery, and text encoders with graph attention across sites to improve PV power forecasting on real data from eight Chinese stations.
Clark, et al., Learning transferable visual models from natural language supervision, in: Interna- tional conference on machine learning, PmLR
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Solar-VLM: Multimodal Vision-Language Models for Augmented Solar Power Forecasting
Solar-VLM fuses time-series, satellite imagery, and text encoders with graph attention across sites to improve PV power forecasting on real data from eight Chinese stations.