SCIENCE CHINA Information Sciences, Volume 61 , Issue 11 : 110204(2018) https://doi.org/10.1007/s11432-018-9601-y

Energy consumption diagnosis in the iron and steel industry via the Kalman filtering algorithm with a data-driven model

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  • ReceivedJun 7, 2018
  • AcceptedSep 6, 2018
  • PublishedOct 19, 2018


There is no abstract available for this article.


This work was partly supported by National Key Research and Development Plan (Grant No. 2016YFB0901900) and National Natural Science Foundation of China (Grant Nos. 71302161, 61374203).


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