This paper introduces a novel optimized hybrid model combining Long Short-Term Memory (LSTM) and Transformer deep learning architectures designed for power load forecasting. It leverages the strengths ...

Since Google proposed Transformer in 2017, it has made significant natural language processing (NLP) development. However, the increasing cost is a large amount of calculation and parameters. Previous ...

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