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- W2370391524 abstract "In the light of historical data with stochastic volatility, weighted index, moving average, 20% repair and other methods usually be adopted to get smooth data, hoping to obtain more accurate result when using mathematics model to predict. However, it' s necessary to judge and deal with the parts of abnormal data when using these methods. In this paper, grey-Markov model, which combines the advantage of GM (1, 1) model with that of Markov forecast model, is used to predict precisely load data with stochastic volatility, and thus to reduce the prediction error caused by faulty judgment and treatment of the historical data when lack of information." @default.
- W2370391524 created "2016-06-24" @default.
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- W2370391524 date "2011-01-01" @default.
- W2370391524 modified "2023-09-25" @default.
- W2370391524 title "Probe into Grey-Markov Model Based Power System Load Forecasting" @default.
- W2370391524 hasPublicationYear "2011" @default.
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