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基于BP神经网络的中国电力需求预测 被引量:13

Combination Estimate for Electric Demand of China
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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。 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.
作者 黄海萍
出处 《科学技术与工程》 2007年第4期612-613,616,共3页 Science Technology and Engineering
关键词 神经网络 需求 预测 combination estimate demand calculate
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参考文献2

  • 1[3]庄楚强,吴亚森.应用数理统计基础.广州:华南理工大学出版社,2007
  • 2[4]肖桂山.西方经济学.沈阳:东北财经大学出版社,2003

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