An end-to-end data engineering pipeline and multivariate time-series forecasting engine utilizing PyTorch Forecasting and Temporal Fusion Transformers for high-scale demand modeling.

Major Taiwan auto parts makers said they expected market conditions to improve in the second half of 2026 as tariff and geopolitical uncertainties eased, executives announced during annual shareholder ...

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Indy Auto Man shares its 2026 used car market forecast, highlighting trends, pricing shifts, and how Indiana drivers can find top-value auto amid changing terms We are going to show Indiana buyers ...

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...

Abstract: The modern world, dynamic planning and accurate forecasting for dynamic datasets are essential for the practice of financial management. Often models used in traditional problems are not ...

torch 2.2.2 PyTorch framework for neural networks. The documented GPU setup targets the official CUDA 12.1 wheel. FF3.CSV Ken French Data Library Full file included Fama-French 3-factor returns. Only ...