基于神经网络的负荷曲线整形

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems Pub Date : 1993-04-19 DOI:10.1109/ANN.1993.264332

D. C. Park, O. Mohammed, A. Azeem, R. Merchant, T. Dinh, C. Tong, J. Farah, C. Drake

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引用次数: 7

摘要

作者描述了如何利用人工神经网络来改进电力负荷预测的形状。结果表明，应用该方法使负荷预测曲线形状符合典型季节负荷曲线形状，可提高电力负荷预测的整体精度。

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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Load curve shaping using neural networks

The authors describe how an artificial neural network can be utilized for improving the shape of an electrical power load forecast. It is shown that the application of this method to make the shape of the forecast load curve conform to the shape of the typical seasonal load curve results in improvement in the overall accuracy of the electrical power load forecast.<>

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[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems

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