Short-term Multi-Regional Load Forecasting with Dynamic Spatial Features and Missing Data

This is like a smart weather forecast, but for electricity demand across many regions at once. It learns how power usage in one area affects nearby areas over time, keeps updating those relationships as they change, and still makes good predictions even when some of the input data is missing or noisy.