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

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Acknowledgements

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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Authors and Affiliations

  1. Institute of Industrial & Systems Engineering, Northeastern University, Shenyang, 110819, China

    Yanyan Zhang, Lixin Tang & Xiangman Song

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  1. Yanyan Zhang
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  2. Lixin Tang
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  3. Xiangman Song
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Correspondence to Yanyan Zhang.

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Zhang, Y., Tang, L. & Song, X. Energy consumption diagnosis in the iron and steel industry via the Kalman filtering algorithm with a data-driven model. Sci. China Inf. Sci. 61, 110204 (2018). https://doi.org/10.1007/s11432-018-9601-y

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  • DOI: https://doi.org/10.1007/s11432-018-9601-y