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Energy consumption forecasting for the nonferrous metallurgy industry using hybrid support vector regression with an adaptive state transition algorithm

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Release time:2019-05-09
Journal:Cognitive Computation
Note:https://doi.org/10.1007/s12559-019-09644-0
Co-author:S.X. Yang, X.J. Zhou, C.H. Yang, Z.K. Huang
Document Type:J
ISSN No.:1866-9956
Translation or Not:no
Date of Publication:2019-04-25

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Energy consumption forecasting for the nonferrous metallurgy industry using hybrid support vector regression.pdf

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