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Advancements in Time Series Forecasting
This chapter explores the practical applications of time series analysis in demand forecasting for sectors like energy and retail, with a focus on e-commerce. It discusses traditional and deep learning approaches, challenges like overfitting, and the integration of language models in forecasting, emphasizing the role of innovative projects like Kronos.