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Oct 17, 2026 · Artificial Intelligence

TCN Deep Dive: Causal & Dilated Convolutions for Long-Range Time Series Forecasting

This article explains Temporal Convolutional Networks (TCN) for time series forecasting, detailing how causal and dilated convolutions capture long-range dependencies without future leakage, and demonstrates with a complete PyTorch implementation comparing shallow (61h receptive field) vs deep (253h) models on synthetic order data with daily, weekly, and promotional patterns.