Kronos' Approach to Time Series Forecasting and Dataset Challenges

Kronos addresses the issue of improvements on benchmark datasets lacking real absolute performance enhancement, particularly due to the common use of the same datasets in the literature. This highlights the challenges in performance evaluation. One major inspiration for Kronos was observed limitations in using simple models in production time series systems, as setting up new state-of-the-art models is comprehensive and time-consuming. This leads to the prevalent usage of simplistic models like seasonal lag, which performs adequately but underutilizes advanced deep learning models.