MATLAB Implementation of Embedding Dimension Selection Based on Chaotic Time Series

When applying chaos theory and neural networks for short-term load forecasting, selecting appropriate neural network inputs is critical. This MATLAB program implements an embedding dimension selection algorithm for chaotic time series analysis, featuring multiple approaches for neural network input configuration to enhance prediction accuracy.