3D cloud detection and tracking system for solar forecast using multiple sky imagers

•A 3D cloud detection and tracking system based on multiple sky imagers is proposed.•A supervised classifier and multi-source correction is used to identify cloud pixels on sky image.•We propose to use clustering and aggregation to recognize multi-layer clouds based on spatial and temporal correlation.•We investigate regression-based models for short-term irradiance forecast based on predicted image features.