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：本文提出了一种替代策略，以解决每小时负荷预测中每天在电能分配公用事业中发现的问题。负荷预测在基本网格中产生实质性的增强和加强

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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;
关键词
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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