摘要
农村用电量预测是县级供电部门的重要工作之一,其受国民生产总值和上年度用电量的影响,具有一定的随机性。利用BP神经网络建立了农村用电量预测模型。通过应用实例分析表明,预测结果和实际结果有很好的一致性。
Forecasting the requirements of electricity in rural area is an important work for county electric power supply enterprises with obviously random fluctuation,closely related to Gross National Product and the requirements of electricity last year,The model of forecasting the electricity requirements in rural area was established based on BP neural network. The experimental resuits showed that the forecasting value based on the model agrees with the original values by referring the maximal relative error.
出处
《沈阳农业大学学报》
CAS
CSCD
北大核心
2005年第4期506-507,共2页
Journal of Shenyang Agricultural University
关键词
神经网络
预测模型
农村
用电量
BP neural network
forecasting model
electricity requirements in rural area
