Wavelet KAN + Parallel Bi-GRU Framework for Electric Load Forecasting

This is a smarter crystal ball for predicting how much electricity people will use. It combines two tricks: one zooms in and out on the data to see patterns at different time scales (like looking at hours vs. seasons), and another remembers how usage changes over time, like a very good note‑taker for past behavior. Together they make more accurate forecasts of future electricity demand.