Yunzhengyan Ma

Short-Term Load Interval Prediction Based on DBO-Optimized Variational Mode Decomposition and CNN-BiLSTM-Attention

To address the challenges in short-term power load forecasting posed by the non-stationary, multi-scale, and nonlinear characteristics of load data, this study proposes a short-term load interval forecasting method based on a Convolutional Neural Network-Bidirectional Long Short-Term Memory-Attention (CNN-BiLSTM-Attent...