电力系统负荷预测中的自适应神经网络方法

Proceedings of the First International Forum on Applications of Neural Networks to Power Systems Pub Date : 1991-07-23 DOI:10.1109/ANN.1991.213490

T. Dillon, S. Sestito, S. Leung

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引用次数: 20

摘要

提出了一种利用神经网络进行短期负荷预测的方法。采用反向传播训练的三层前馈自适应神经网络。将该方法应用于某电力系统的实际数据，并与其他方法进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An adaptive neural network approach in load forecasting in a power system

The authors present a method of short term load forecasting using a neural network. A three layered feedforward adaptive neural network, trained by back-propagation, is used. This method is applied to real data from a power system and comparative results with other methods are given.<>

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Proceedings of the First International Forum on Applications of Neural Networks to Power Systems

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