FarSky: Task-Aware Latent-Space Coupling for Generative Intra-Hour Solar Forecasting
FarSky uses latent-space coupling to improve intra-hour solar irradiance forecasting via all-sky imagery.
The FarSky framework addresses limitations in deterministic solar forecasting by using a multi-task autoencoder to learn task-aware representations. By coupling latent spaces, the model improves the prediction of cloud dynamics and ramp events, which are critical for integrating photovoltaic power into electrical grids.