PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
IEEE

Time Series Forecasting Based on Improved Multilinear Trend Fuzzy Information Granules for Convolutional Neural Networks

Abstract: Although the construction of multilinear trend fuzzy information granules (FIG) achieves a win–win situation in terms of interpretability and trend extraction, in its second stage of ...
IEEE

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

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 ...
GitHub

Multi-Signal Demand Forecasting System (Temporal Fusion Transformer)

2.2.2 signals.py Fetch weather, Google Trends, and FinBERT news sentiment; merge into the sales frame (all with offline fallbacks). 2.2.3 features.py Lag (7/14/28), rolling mean/std, calendar, promo, ...