Research on Prediction Model of Natural Gas Consumption Based on Grey Modeling Optimized by Genetic Algorithm

Yan Xie, Mu Li
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引用次数: 18

Abstract

Natural gas consumption is an important index to reflect living and spending levels of residents. Carries on the prediction to it, to ensure network capacity, carry out the optimization of network scheduling, equipment maintenance and so on, is of great significance. In this paper it introduces grey modelling method optimized by genetic algorithm. The grey prediction model of natural gas consumption is given. An example is given to verify the model and contrast the actual consumption. The result indicates that the method predicting natural gas consumption is simple and accurate, that the model has good adaptability and accuracy, and that the method is important to optimize the operation and united dispatch management of the transmission and distribution pipeline network.
基于遗传算法优化灰色建模的天然气用气量预测模型研究
天然气消费是反映居民生活和消费水平的重要指标。对其进行预测,对保证网络容量、进行网络调度优化、设备维护等,具有重要意义。本文介绍了基于遗传算法优化的灰色建模方法。给出了天然气消费量的灰色预测模型。通过算例对模型进行了验证,并与实际能耗进行了对比。结果表明,该方法简便、准确,模型具有较好的适应性和准确性,对输配管网的优化运行和统一调度管理具有重要意义。
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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