Electricity Forecasting Through Time-Element Entanglement

Accurate electricity forecasting is crucial for ensuring grid stability, optimizing resource allocation, and enabling efficient energy markets. To enhance prediction accuracy, we challenge the paradigms of extracting temporal dependence patterns in traditional time series forecasting approaches and introduce a novel concept: time-element entanglement (TimeEE). This concept asserts that complex nonlinear coupling interactions between multiple past time steps significantly influence the current time step. Building on this idea, we present TimeEE, an innovative model for electricity forecasting through time-element entanglement. Its key component, the element entangled block, explicitly models the entangled information between time points, capturing essential time-element interactions for highly accurate predictions. Our model demonstrates state-of-the-art performance in both prediction accuracy and efficiency across multiple datasets, providing a new and efficient solution for electricity forecasting.