Zhendong Yin

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1. Introduction Given the escalating concerns surrounding the greenhouse effect and resource depletion, there is an urgent need to identify viable alternatives to fossil fuels in order to satisfy the growing electricity demands of human society. Consequently, all nations are prioritizing the development of renewable energy sources and striving to transition towards a low-carbon energy structure.

2.1. A New Dataset: Plant Real-World The traditional practice during the training process involves utilizing a fraction of the training set as the testing set in each iteration. By monitoring the trend of accuracy changes along with the increasing number of iterations, we can determine the effectiveness of the model’s learning. Finally, the highest accuracy attained during these iterations represents the peak performance of the model. In our study, we adhered to this same training paradigm.