| 基于BP神经网络的中国电力需求预测 |
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| 引用本文： | 黄海萍.基于BP神经网络的中国电力需求预测[J].科学技术与工程,2007,7(4):612-613616. |
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| 作者姓名： | 黄海萍 |
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| 作者单位： | 辽宁工程技术大学工商管理学院,阜新,123000 |
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| 摘 要： | 目前,中国用电量逐年激增,而电力需求预测的保守,导致电力供应不足。应用BP神经网络的原理,对中国电力需求情况进行了预测。根据预测结果显示在未来十几年中中国电力的需求量仍将大幅度增加,并提出了有关部门应该迅速调整产业结构,合理安排生产力布局,以满足社会经济发展对电力的需要的建议。
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| 关 键 词： | 神经网络 需求 预测 |
| 文章编号： | 23646960 |
| 修稿时间： | 2006-10-17 |
Combination Estimate for Electric Demand of China |
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| HUANG Hai-ping.Combination Estimate for Electric Demand of China[J].Science Technology and Engineering,2007,7(4):612-613616. |
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| Authors: | HUANG Hai-ping |
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| Institution: | School Industry and Bisiness Management, Liaoning Polytechnical University, Fuxin 123000, P.R.China |
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| Abstract: | At present,the use of electric in China is growing up by year.However,the estimate of electric demand is conservative,which results in delaying supply of electric.In order to estimate the electric demand in several years' time,the method of BP nerve network is applied.According to the estimate result that the electric demand will still be increasing significantly,the suggestion that related departments should adjust the industry structure promptly is presented,arrange the power layout reasonably to satisfy the electric demand by economic development. |
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| Keywords: | combination estimate demand calculate |
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