Abstract
The construction of smart grid put forward higher requirements on deployment accuracy of the energy. Power generation and electricity sectors have carried out more accurate data analysis and forecasting. In this context, we provide a Gauss-Chebyshev GM(1,1) model, This model could overcome the lack of traditional grey model and made accurate forecasting of electricity consumption in smart grid, Finally, numerical examples demonstrate that this method can efficiently improve the prediction accuracy.
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Acknowledgements
This research was partially supported by National Natural Science Foundation of China, grant No.71101041, National 863 Project, grant No. 2011AA05A116, Foundation of Higher School Outstanding Talents Grant No. 2012SQRL009 and National Innovative Experiment Program No.111035954.
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Wang, H., Yang, S. (2014). Mid-term Load Forecasting Based on Modified Grey Model. In: Wang, W. (eds) Mechatronics and Automatic Control Systems. Lecture Notes in Electrical Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01273-5_18
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DOI: https://doi.org/10.1007/978-3-319-01273-5_18
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