Abstract: 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 ...

Abstract: Power load forecasting is the foundation of maintaining power grid stability, and can assist in decision-making to reduce operating costs. Fine-grained long sequence load forecasting ...

conda create -n YOLO python=3.10.10 conda activate YOLO conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia pip install opencv-python pip install PyYAML pip install ...

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