Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting

机译：遗传算法在人工神经网络中期负荷预测中的发展

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This paper gives an alternative strategy to solve a problem found daily in the distribution utilities of electric energy in regard to hourly load forecasting. The load forecasting produces the essence to increase and strengthen in the basic grid, moreover

机译：本文给出了在每小时负载预测方面解决了在电能的分配实用程序中发现的问题的替代策略。负载预测产生了增加和加强基本网格的本质，而且

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《Neural Networks, The 2007 IEEE International Joint Conference on》|2007年|P.1726-1731|共6页
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de Aquino; R.R.B.; Neto; O.N.; Lira; M.M.S.; Ferreira; A.A.; Carvalho; M.A.; Silva; G.B.; de Oliveira; J.B.;
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中图分类工业技术;
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genetic algorithms; load distribution; load forecasting; neural nets; power distribution planning; power system analysis computing; artificial neural network; electric energy distribution utilities; electrical system operation planning; genetic algorithm; mid-term;

机译：遗传算法;负荷分配;负荷预测;神经网络;电力分配计划;电力系统分析计算;人工神经网络;电力分配实用程序;电力系统运行计划;遗传算法;中期;

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4. Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting [C] . de Aquino, R.R.B., Neto, Neural Networks, The 2007 IEEE International Joint Conference on . 2007

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Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting

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