HIGHLIGHTS
- who: Xin Huang and colleagues from the Nari Group Corporation (State Grid Electric Power Research Institute), Jiangsu, China have published the research work: A Hybrid Deep Learning Framework for Network Flow Forecasting of Power Grid Enterprise, in the Journal: Complexity of 29/04/2022
- what: For the final predictions the authors design a forecasting adjustment block to further remove the influence of random noise. The authors propose a decomposition based adjusted GRUxgboost forecasting approach for network flow forecasting task of power grid enterprises to generate accurate flow predictions. In the proposed algorithm, the authors design . . .
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