Artificial intelligence-based heliostat characterisation through synthetic data
收藏DataCite Commons2026-05-05 更新2026-05-07 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.20038370
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资源简介：
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.
提供机构：
Zenodo
创建时间：
2026-05-05
