燃气负荷预测模型输入因子的遗传算法识别

Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257) Pub Date : 2001-08-14 DOI:10.1109/MWSCAS.2001.986277

Hui Li. Lim, R. Brown

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引用次数: 4

摘要

遗传算法(GAs)被用作一种工具来识别每小时燃气负荷预测模型的输入因素。所提出的模型可以提供长达106小时的负荷预测。讨论了应用遗传算法确定输入的经验。使用该研究结果的基于线性回归的模型在一个天然气公用事业公司六个服务区域的平均误差比现有方法小23%。

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Gas load forecasting model input factor identification using a genetic algorithm

Genetic algorithms (GAs) are used as a tool to identify the input factors for an hourly gas load forecasting model. The proposed model can provide up to 106 hours of load forecasts. Experiences obtained during the application of GA for determination of inputs are discussed. Linear regression based models using the results of this study had an average error 23% less than the existing method at one gas utility over six service areas.

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Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257)

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