Steam turbine power prediction based on encode-decoder framework guided by the condenser vacuum degree

HIGHLIGHTS

• who: Yanning Lu and collaborators from the Editor:, Hanyang University, Integration, Ministry of Education, Southeast University, Nanjing, Jiangsu, China have published the research work: Steam turbine power prediction based on encode-decoder framework guided by the condenser vacuum degree, in the Journal: PLOS ONE of 27/09/2022
• what: In this paper to explore the coupling relationship between steam turbine and condenser the authors propose a novel approach for steam turbine power prediction based on the encode-decoder framework guided by the condenser vacuum degree (CVD-EDF). The authors evaluate the effectiveness of CVD-EDF . . .
  

   

  

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