Power System Load Forecasting Using Elman Neural Networks

This project implements Elman neural network-based load forecasting for power systems, providing source data and ensuring proper program execution with satisfactory prediction results. Key features include dynamic memory implementation through recurrent connections and time-series data preprocessing for enhanced temporal pattern recognition.