递归神经网络与负荷预测

Proceedings of the First International Forum on Applications of Neural Networks to Power Systems Pub Date : 1991-07-23 DOI:10.1109/ANN.1991.213491

J. Connor, L. Atlas, D. Martin

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引用次数: 18

摘要

研究了循环网络对负荷预测的建模能力。然后将其在竞争中的性能与前馈网络和线性模型进行比较。然后分析了它的优缺点，为神经网络预测器的设计提供指导，希望在未来设计出更好的预测器。

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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Recurrent neural networks and load forecasting

The ability of a recurrent network to model load forecasting is investigated. Its performance in a competition is then contrasted with that of feedforward networks and linear models. Its weaknesses and strengths are then analyzed to give guidelines to the design of neural net predictors with the hope of designing better predictors in the future.<>

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

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