GARS: Gap-Aware Residual Selection for Long-Horizon Time-Series Forecasting
Intelligent systems deployed in smart cities, smart grids, environmental monitoring, and other data-driven applications increasingly depend on reliable multivariate time-series forecasting. Recent deep forecasting models have achieved strong performance on various benchmarks, but their final predictions are often gener...