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基于人工神经网络的城镇日负荷预测
引用本文:杨顺帆.基于人工神经网络的城镇日负荷预测[J].电力学报,2012,27(4):297-299,305.
作者姓名:杨顺帆
作者单位:广东电网东莞清溪供电分局,广东东莞,523640
摘    要:电力负荷预测是进行电网规划建设的依据,为准确预测清溪镇日负荷情况,对神经网络预测原理进行了研究,对清溪镇日负荷数据进行调查,依据BP神经网络的预测方法建立日负荷预测模型,通过Matlab实现清溪镇日负荷预测并对预测结果进行分析,结果表明基于BP神经网络的预测方法在城镇日负荷预测中效果理想。

关 键 词:电力系统  神经网络  日负荷  Matlab

Urban Daily Load Prediction Based on Artificial Neural Network
YANG Shun-fan.Urban Daily Load Prediction Based on Artificial Neural Network[J].Journal of Electric Power,2012,27(4):297-299,305.
Authors:YANG Shun-fan
Affiliation:YANG Shun-fan(Dongguan Qingxi Power Supply Sub-Company, Dongguan 523640, China)
Abstract:Power load forecasting is the basis of the power grid planning and construction.To accurately predict the daily load of Qingxi town,this paper studies the principle of the neural network prediction and investigates the daily load data of Qingxi town.Based on BP neural network prediction method,a load forecasting model is established.Using Matlab forecasts the daily load of Qingxi town and analyses the forecasting results.The analyzing result shows that the daily load prediction method based on BP neural network is satisfactory
Keywords:neural network  daily load  Matlab  load forecasting
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