A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting
Sky-image irradiance studies often compare forecasting systems in which the image encoder, temporal model, fusion block, target definition, and training recipe all change together. We use a narrower protocol: the multimodal forecasting pipeline is fixed, and only the visual backbone is varied. The shared setup keeps preprocessing, clear-sky-index normalization, weather-history encoding, fusion, regression head, loss, optimizer schedule, seed, and chronological split policy unchanged. We compare ConvNeXt, Swin Transformer, VMamba, Spatial Mamba, and MambaVision backbones for 10min-ahead forecasting on Folsom and a strict matched NREL split. Forecast skill is measured against clear-sky-inde...
| Authors | Oshadha Samarakoon, Dushan Herath, Ishara Ranmandala et al. |
|---|---|
| Primary category | eess.IV |
| Published | 26 July 2026 |
| Last updated at source | 26 July 2026 |
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