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DeepLSF: Fusing Knowledge and Data for Time Series Forecasting
  • Muhammad Ali Chattha
Muhammad Ali Chattha
TUKL

Corresponding Author:[email protected]

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Abstract

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.