Prediction of time series based on load profile using JADE technique

M. Hussain, Z. Zakaria, R. Rifin, M. Z. Hussin, N. A. Rahman, N. Ilham, N. M. Zain, M. Sani
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引用次数: 3

Abstract

This paper presents a method of mathematical technique using Joint Approximate Diagonalization of Eigen Matrices (JADE). The advantages of this method, it can predict the original analysis of source signal using limited information of the system as well as to minimize costs by reducing the number of equipment to estimate the type of load profile at certain locations. By using innovative methods based Power System Simulation (PSS™E) software, Phyton Programming, Matlab software and Microsoft Excel are implemented. The proposed technique is tested on 69 test bus system and several results such as simulation and error measures are also discussed in this paper.
基于JADE技术的负荷分布时间序列预测
本文提出了一种利用特征矩阵联合近似对角化的数学方法。该方法的优点在于,它可以利用有限的系统信息预测源信号的原始分析,并通过减少设备数量来估计特定位置的负载分布类型,从而最大限度地降低成本。通过采用基于电力系统仿真(PSS™E)软件的创新方法,实现了Phyton Programming, Matlab软件和Microsoft Excel。本文在69测试总线系统上对该技术进行了测试,并对仿真结果和误差测量结果进行了讨论。
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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