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A hybrid model for short term real-time electricity price forecasting in smart grid

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Figure

Fig. 2 The flow chart of forecasting day-ahead real-time electricity prices
Table 1 Total square errors with different values of fitting degree; d = 1 to 7 are evaluated
Fig. 3 Examples of X(0) and X(1). Case t = 26 is adopted as an example. a Example data in X(0); b Exampledata in X(1)
Fig. 4 Real-time electricity prices forecasting result based on LS model+GP model
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