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- W2322010784 abstract "In order to improve the prediction accuracy of short-term load, this paper puts forward a model of short-term load prediction (VPQPSO-BPNN) based on the optimized BP neural network. Firstly, by phase-space reconstruction, it conducts reconstitution for the historical data of short-term load, and then through VPQPSO algorithm, it finds the optimal parameters of BP neural network, and finally establishes the optimal short-term load prediction model, and test the model performance by simulation experiment." @default.
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- W2322010784 date "2016-01-16" @default.
- W2322010784 modified "2023-10-16" @default.
- W2322010784 title "Research Optimizing Neural Network in Short-Term Electric Load Prediction" @default.
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- W2322010784 doi "https://doi.org/10.14257/astl.2016.121.66" @default.
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