Ultra-short-term PV power forecast based on dung beetle algorithm

Researchers have developed a novel deep-learning method to predict ultra-short-term PV power, using an optimization method that is based on the behavior of dung beetles. The proposed approach reportedly performed better than seven other conventional prediction methods over a 1-year period. Scientists from China's Hubei University of Technology have proposed a novel deep-learning model for ultra-short-term PV power prediction. The new technique combines self-attention temporal convolutional networks (SATCN), bidirectional long short-term memory networks (BiLSTM), and dung beetle optimization (DBO) ...

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