AI unlocks new solar energy horizons in China

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.

augmentation china data energy energy & green tech journal lightgbm limitations machine machine learning machine learning model research researchers sensing solar study weather