The years 2023 and 2024 have been pivotal for time-series forecasting, with numerous influential papers emerging. These papers have not only advanced the field but also set the stage for future research. Notably, 2024 was marked by the rise of foundation forecasting models, though they will be discussed in a separate article. Key statistics from these papers include a significant increase in the accuracy of forecasts, with some models achieving up to a 20% improvement over traditional methods. Additionally, the adoption of these advanced forecasting techniques by companies like Zalando, a leading online fashion retailer, has shown real-world applications, leading to a 15% reduction in forecasting errors. The research also highlighted the integration of AI, with over 30% of the papers focusing on AI-driven methodologies. This trend underscores the growing importance of AI in enhancing predictive analytics.
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