Energy Consumption Prediction of Building Air-Conditioning Systems Based on a 1DCNN-BiLSTM-AM Framework
The results indicate that the proposed hybrid energy consumption prediction model based on a one-dimensional convolutional neural network, bidirectional long short-term memory network, and attention mechanism can effectively characterize the nonlinear and time-varying energy consumption behavior of building air-conditi...