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- W1993247634 abstract "To resolve the problem of short-term power load forecasting, we propose a self-adapting particle swarm optimization (PSO) algorithm to optimize the error back propagation (BP) neural network model. The proposed model is called PSO-BP model which employs PSO to adjust control parameters of BP neural network. In order to verify the performance of PSO-BP, the practical datum of a city in China are selected in the experiments. Simulation results show that our approach outperforms simple BP neural network." @default.
- W1993247634 created "2016-06-24" @default.
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- W1993247634 date "2012-08-01" @default.
- W1993247634 modified "2023-09-25" @default.
- W1993247634 title "Short-Term Power Load Forecasting Based on Self-Adapting PSO-BP Neural Network Model" @default.
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- W1993247634 doi "https://doi.org/10.1109/iccis.2012.279" @default.
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