Artificial intelligence-based heliostat characterisation through synthetic data

The synthetic dataset accompanying the paper "Artificial intelligence-based heliostat characterisation through synthetic data" is partitioned into five subsets for improved data handling. Each subset contains a heliostat table structured as follows:

Heliostat_id: it is the primary key of the table.

x: x position of the heliostat with respect to the target.

y: y position of the heliostat with respect to the target.

z: z position of the heliostat with respect to the target.

focal_length: ideal focal length for both axis of the parabola that represents an ideal heliostat.

surface: 50x50 matrix with the heliostat surface elevation values.

sun_pos_azi_n: sun azimuth for the nth flux distribution (n=1 to 6).

sun_pos_ele_n: sun elevation for the nth flux distribution (n=1 to 6).

heatflux_sunposn: 50x50 matrix with the radiative flux distribution reflected by the surface at the nth sun position.