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DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

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posted on 17.11.2021, 08:44 authored by Muhammad Ali ChatthaMuhammad Ali Chattha
This work presents DeepLSF, a framework for time series forecasting that fuses knowledge driven techniques with data driven neural networks. The proposed framework achieves State-Of-The-Art results on three different real world time series forecasting datasets.

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Email Address of Submitting Author

muhammad_ali.chattha@dfki.de

Submitting Author's Institution

TUKL, DFKI, NUST

Submitting Author's Country

Germany

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