KETEP 세계에너지시장정보

In a new study published in the Journal of Remote Sensing in February 2024, researchers utilized data augmentation alongside the LightGBM machine learning model for the estimation of both diffuse and direct solar radiation. By leveraging sunshine duration data collected from over 2,453 weather stations throughout China, this research overcomes the limitations posed by sparse and unevenly distributed ground-based observations.

This approach ingeniously utilizes sunshine duration data gathered from more than 2,453 weather stations, effectively bypassing the traditional obstacles of sparse and irregularly distributed ground-based observations.