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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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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