再看一下神经网络的预测准确性

M.C. Brace, V. Bui-Nguyen, J. Schmidt
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引用次数: 11

摘要

本文比较了六种人工神经网络预测北美主要电力公司普吉特海湾电力和照明公司每小时系统负荷的能力。神经网络,连同其他四种类型的模型,被用来预测每小时的系统负荷,以每小时为基础的第二天。这是1991年11月1日至1992年3月31日期间的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Another look at forecast accuracy of neural networks
This paper compares the ability of six artificial neural networks to predict hourly system load for the Puget Sound Power and Light Company, a major North American electric utility. The neural nets, along with four other types of models, were used to forecast hourly system load for the next day on an hour by hour basis. This was done for the period November 1, 1991 to March 31, 1992.<>
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