A Horizon-Aware Hybrid Time-Frequency Framework for Direct Multi-Step Hourly Electricity Demand Forecasting
In this paper, a horizon-aware time-frequency hybrid direct multi-step prediction framework is presented for hourly-level power data. First, the original signal is denoised using adaptive noise-complete set empirical mode decomposition (CEEMDAN), and then time-frequency fused features are constructed using short-time F...