Abstract
The grey GM (1, 1) model is a kind of more effective load forecasting model, however, because power load has diversity, causing some variation is larger, the load forecasting error cannot match the requirements. Precision in practical application has certain limitations. The grey GM (1, 1) model use the necessary improvements model ,such as equal dimension new information recurrence model and subsection of GM (1, 1) load forecasting model, through analysis shows that can increase the prediction precision.
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Yan, Y., Liu, C., Qu, B., Zhao, Q., Ji, F. (2011). Application of Grey Forecasting Model to Load Forecasting of Power System. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27452-7_27
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DOI: https://doi.org/10.1007/978-3-642-27452-7_27
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