A Combination Method for Mid-Long Term Power Load Simulation and Prediction
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In view of the singleness of effect evaluation indexes in combination forecasting, this paper considered both benefit factors and cost factors. The entropy method and the variance-covariance method are adopted to determine the relative importance of these indicators and to get the weight of each single model. This improved combination forecasting model took both prediction accuracy and curve similarity into consideration, which is more accurate and reliable.
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