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A method of collaborative multi-path load forecasting based on maximum entropy principle

机译:一种基于最大熵原理的协作多路径负荷预测方法

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摘要

This paper introduces synergetic theory and proposes multi-path load forecasting automatically coordinated approach based on the maximum entropy principle. Taking the expectation and second order central moment of forecasted results into account and using the maximum entropy principle,this synergetic load forecasting method receives the probability distribution function of the forecasted values and obtains the final high, middle and low forecasting scheme based on the probability theory. Case study has shown the model and method mentioned above can take the affection of the conflicts among different forecasting path into account in forecasting, resulting in higher precision of load forecasting.
机译:本文介绍了协同理论,提出了基于最大熵原理的自动协调方法的多路径负荷预测。以期望和二阶结果的预测结果考虑并使用最大熵原理,这种协同负荷预测方法接收预测值的概率分布函数,并基于概率理论获得最终的高,中低预测方案。案例研究表明,上述模型和方法可以在预测中考虑不同预测路径的冲突的影响,导致负荷预测的更高精度。

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