The invention relates to a method (S100, S200, S300, S400, S500) for determining at least one component of a hemispherical
irradiance (120) of solar
radiation in an arbitrary plane, wherein the at least one component has a diffuse
irradiance (122) and / or a direct
irradiance (124), comprising the following steps: (i) collecting measurement data relating to the hemispherical irradiance (120) using a
radiation sensor unit (12) in a
field of view (26) over a plane (46) of the
radiation sensor unit (12); (ii) capturing an image (110) of the
sky (50) using a camera (14) in a field of vision (32) over a plane (48) of the camera (14); (iii) extracting (S130, S230, S330, S430, S530) features from the image (110) of the
sky (50) by means of a first
machine learning model and producing a result
data set; (iv) merging (S140, S240, S340, S440, S540) the measurement data to form a common
data set; (v) determining (S150, S250, S350, S450, S550) the at least one component of the hemispherical irradiance (120) in the arbitrary plane from the
data set by means of a second
machine learning model.