Grey-periodic Extensional Combinatorial Model and Its Application in Power Load Forecasting

机译：灰色周期可拓组合模型及其在电力负荷预测中的应用

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摘要

Power load possesses dual property of increase and periodic fluctuation simultaneously. This has decided the load change displaying the complicated non-linearity combination characteristic. So, the result that the average forecast model forecasts is not sometimes ideal. In order to increasing the accuracy of load forecast, the gray periodic extensional combinatorial model is put forward. It has given consideration to power load increase and periodic fluctuation at the same time. The example has verified that the model increases the forecasting accuracy obviously.

机译：电力负荷具有同时增加和周期性波动的双重性质。这就决定了显示复杂的非线性组合特性的负载变化。因此，平均预测模型预测的结果有时并不理想。为了提高负荷预测的准确性，提出了灰色周期扩展组合模型。同时考虑了功率负载的增加和周期性波动。实例验证了该模型明显提高了预测精度。

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来源
《2008年国际应用统计学术研讨会（2008 International Institute of Applied Statistics Studies）论文集》|2008年|1-5|共5页
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作者
DING Chao; REN Feng; LU Gang;
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正文语种
中图分类 FO;
关键词
Gray Forecast; Gray Periodic Extensional Combinatorial Model; Electric Power Load Forecast; GM (1,1) Model;

机译：灰色预测;灰色周期可扩展组合模型;电力负荷预测; GM（1,1）模型;

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4. Grey-periodic Extensional Combinatorial Model and Its Application in Power Load Forecasting [C] . International Institute of Applied Statistics Studies Conference . 2008

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Grey-periodic Extensional Combinatorial Model and Its Application in Power Load Forecasting

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