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- W2379712605 abstract "Short-term load forecasting is fundamental for running and controlling in power system and the veracity of forecasting result is crucial for power system’s secure and favorable running. A new method for short-term load forecasting is presented based on neural network optimized by genetic algorithm(GA), short-term load forecasting model for power system is set up by non-parameters method as sample sets for Elman neural network(Elman NN).With GA’s optimizing and Elman NN’s dynamic feature, the weight optimization is realized by selection, crossing and mutation operations. The simulation indicates the method is feasible and effective." @default.
- W2379712605 created "2016-06-24" @default.
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- W2379712605 date "2008-01-01" @default.
- W2379712605 modified "2023-09-27" @default.
- W2379712605 title "Neural network based genetic algorithm optimizing for short-term load forecasting" @default.
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