Artificial neural networks as applied to long-term demand forecasting

Tawfiq Al-Saba, Ibrahim El-Amin
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引用次数: 165

Abstract

This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecasting. The ANN model is used to forecast the energy requirements of an electric utility. It is then compared to time series models. The comparison reveals that the ANN produces results that are close to the actual data. The ANN model is then used to forecast the annual peak demand of a Middle Eastern utility up to the year 2006. The results compare favorably with the utility’s forecast.

人工神经网络在长期需求预测中的应用
本文报道了人工神经网络(ANN)在长期负荷预测中的应用。利用人工神经网络模型预测电力公司的能源需求。然后将其与时间序列模型进行比较。对比表明,人工神经网络生成的结果更接近实际数据。然后利用人工神经网络模型预测中东地区某公用事业公司到2006年的年峰值需求。结果与公用事业公司的预测相吻合。
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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