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基于连续隐Markov模型的理论线损率预测研究
引用本文:周红艳,田丽,钱兆刚,王勇.基于连续隐Markov模型的理论线损率预测研究[J].南阳理工学院学报,2014(6):38-41.
作者姓名:周红艳  田丽  钱兆刚  王勇
作者单位:安徽工程大学电气工程学院,安徽芜湖241000
摘    要:提出一种基于连续隐马尔可夫模型的理论线损率预测方法,运用Baum-Welch参数重估修正公式实现CHMM参数优化,建立CHMM模型。依据CHMM模型概率输出判别各可选仿真模型相对于实际系统的有效性。结果表明,该模型运行速度快,在理论线损率预测中有更高的精度。

关 键 词:线损率预测  连续隐马尔可夫模型  参数重估

A RESEARCH ON THEORETICAL LINE LOSS RATE PREDICTION BASED ON CONTINUOUS HIDDEN MARKOV MODEL
ZHOU Hong-yan,TIAN Li,QIAN Zhao-gang,WANG Yong.A RESEARCH ON THEORETICAL LINE LOSS RATE PREDICTION BASED ON CONTINUOUS HIDDEN MARKOV MODEL[J].Journal of Nanyang Institute of Technology,2014(6):38-41.
Authors:ZHOU Hong-yan  TIAN Li  QIAN Zhao-gang  WANG Yong
Affiliation:( School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China)
Abstract:A theoretical line loss rate prediction method is built based on continuous hidden Markov model. Baum-Welch parameter re- valuation correction formula is applied for CHMM parameters optimization. It judges the effectiveness of each optional simulation model relative to actual system according to the probability output of CHMM model. The result shows that the model is speedy and with high accuracy in theoretical line loss rate prediction.
Keywords:line loss rate prediction  continuous hidden Markov model  parameters of revaluation
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