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- W2808958650 abstract "Short-term load forecasting for microgrid is the basis of the research on scheduling techniques of microgrid. Accurate load forecasting for microgrid will provide the necessary basis for cooperative optimization scheduling. Short-term loadforecasting model for microgrid based on support vector machine(SVM) is constructed in this paper. The harmony search optimization algorithm(HSA) is used to optimize the parameters of the SVM model, because it has the advantages of fast convergence speed and better optimization ability. Through the simulation and test of the actual microgrid load system, it is proved that the short-term loadforecasting model for microgrid based on HSA-SVM can effectively improve the prediction accuracy." @default.
- W2808958650 created "2018-06-29" @default.
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- W2808958650 date "2018-01-01" @default.
- W2808958650 modified "2023-09-26" @default.
- W2808958650 title "Short-term Load Forecasting Model for Microgrid Based on HSA-SVM" @default.
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- W2808958650 doi "https://doi.org/10.1051/matecconf/201817301007" @default.
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