摘要
为了提高电力负荷预报的精确度和稳定性,基于灰色理论和BP神经网络,提出了电力负荷预报方法。该方法在预测精确度和稳定性方面都比单一的灰色理论预报方法有明显的提高。经实例预测表明,此方法的预报相对误差可以达到1．69％以内。
To increase the accuracy and stability of the forecasting of the electric power load, this paper puts forward an estimating method of the electric power load according to the gray theory and BP neuron network. The method improves obviously the accuracy and stability of forecasting compared to the single gray theory estimating method. The relative error lower 1.69% by forecasting example.
出处
《电机与控制学报》
EI
CSCD
北大核心
2006年第4期440-442,共3页
Electric Machines and Control
关键词
灰色理论
BP神经网络
电力负荷预报
gray theory
BP neuron network
forecasting of the electric power load
