Attention-Based Multi-Time-Scale Aggregation Network for Short-Term Load Forecasting
An attention-based multi-time-scale aggregation network (MTAN) is proposed, a unified end-to-end architecture that integrates heterogeneous neural encoders tailored to three temporal resolutions, validating the effectiveness of multi-scale aggregation for short-term household load forecasting while acknowledging that b...