Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?
Water scarcity poses a major obstacle to sustainable development, and precise discharge prediction plays a vital role in enabling effective water resource management. This study investigated improved prediction techniques for nonstationary time series. The study evaluated the effect of signal processing techniques and blending approaches on the performance of deep learning models for daily dischar