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- W2357680858 abstract "Considering the chaotic characteristic of power system load,a method based on bee evolution modifying particle swarm optimization (BEMPSO) and chaotic neural network are presented for power system load forecasting to improve precision. The chaotic neural networks model and integrates bee evolution modifying with particle swarm optimization are build. The novel BEMPSO algorithm is proposed. It is used to train connection weights of multi-layer feed forward neural network until the learning error tends to be stable. Using the basic PSO algorithm and proposed BEMPSO algorithm,the prediction of power system load are simulated,the results show that forecasting model based on the BEMPSO algorithm proposed have strong capacity of generalization and relatively high precision compared with the basic PSO algorithm." @default.
- W2357680858 created "2016-06-24" @default.
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- W2357680858 date "2009-01-01" @default.
- W2357680858 modified "2023-09-25" @default.
- W2357680858 title "Power System Load Forecasting Based on BEMPSO Chaotic Neural Network" @default.
- W2357680858 hasPublicationYear "2009" @default.
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