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The volatility of load time series is noteworthy in load forecating analysis. Considering the characteristic of time-varying variance, a feasible method of short term load forecasting based on Stochastic Volatility (SV) models is presented. The Quasi Maximum Likelihood Estimate (QMLE) is brought in to specify the standard SV model. The model is transformed into state space form, and the Kalman filter...
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