Abstract: Due to building thermal inertia and delayed user behavioral responses, power load often lags behind meteorological changes, particularly drops in temperature and humidity. Existing models ...
Abstract: Multivariate time series forecasting has a wide range of applications in the fields of computer supported cooperative work. In recent years, deep learning models like transformers, have been ...
A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...
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