 The proposed model combines the advantages of both the convolutional neural network, CNN, and LOM short-term memory, LSTM, models to improve the accuracy of short-term load forecasting. It outperforms existing methods by achieving better and more stable performance. This article was authored by Chu Jie Tian, Jian Ma, Chen Heng Zhang, and others.