一种有效的峰值负荷预测方法

2005 International Power Engineering Conference Pub Date : 1900-01-01 DOI:10.1109/IPEC.2005.206877

Liu Jin, Ziyang Liu, Jingbo Sun, Xinying Song

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引用次数: 3

摘要

本文描述了电力系统的峰值负荷特性。将模糊聚类与levenberg - marward (LM)训练算法中的前馈神经网络(FNN)相结合，提出了一种新的峰值负荷预测方法。与传统的反向传播(BP)算法相比，利用中国电网的实际数据验证了该方法在高峰负荷时段的预测精度更高

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An efficient method for peak load forecasting

This paper describes the peak load characteristics of power systems. A new method for the peak load forecasting (PLF) is proposed by means of an integration technique, which combines fuzzy clustering with feed-forward neural network (FNN) of the Levenberg-Maruardt (LM) training algorithm. Compared with the traditional back propagation (BP) algorithm, the proposed method proves more efficient to the predicted accuracy during the peak load period by using actual data of a power grid in China

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2005 International Power Engineering Conference

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