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风电功率预测技术研究综述 被引量:56
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作者 黎静华 桑川川 +1 位作者 甘一夫 潘毅 《现代电力》 北大核心 2017年第3期1-11,共11页
为了更好地开展风电功率预测的应用研究工作,以点预测、区间预测、概率预测以及场景预测为主线,对现有的风电功率预测技术进行了归纳、总结和梳理。首先,分析了风电功率预测的难点,按照不同的时空尺度、预测形式、预测对象以及预测模型... 为了更好地开展风电功率预测的应用研究工作,以点预测、区间预测、概率预测以及场景预测为主线,对现有的风电功率预测技术进行了归纳、总结和梳理。首先,分析了风电功率预测的难点,按照不同的时空尺度、预测形式、预测对象以及预测模型对风电功率预测进行了分类;基于不同的分类,分别阐述了当前风电功率预测的模型、理论及方法;然后,分析了国内外主要的风电功率预测软件和系统,并总结了风电功率预测误差的评判标准和指标;最后,探讨未来风电功率预测的发展趋势。本文的研究工作,可为风电功率预测研究以及风电功率预测系统的开发应用,提供较为全面的参考信息。 展开更多
关键词 风电功率预测i点预测 区间预测 概率预测 场景预测 风电功率预测软件 预测精度 预测误差指标
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Method of fuzzy uniformity analysis for simulation underwater acoustic signals 被引量:1
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作者 Weiwen Hu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2010年第2期318-322,共5页
Since the simulation underwater acoustic signal is used in the semi-object simulation experiment of underwater weapons, it has great impression upon simulation fidelity. It is asked that whether simulation signals can... Since the simulation underwater acoustic signal is used in the semi-object simulation experiment of underwater weapons, it has great impression upon simulation fidelity. It is asked that whether simulation signals can replace the real signal effectually. Considering the randomness of signals, the interval estimation of feature parameters of simulation signals is made. By comparing the obtained confidence interval with the corresponding accept interval, the concept of similarity coefficient of simulation signals is given. By making a statistical analysis for similarity coefficient, the uniformity information of simulation signals is extracted, and the fuzzy number which expresses the fuzzy uniformity level of simu- lation signals is obtained. The analysis method on fuzzy uniformity of simulation underwater acoustic signals is presented. It is indi- cated by the application in simulation of target radiated-noises that the method is suitable and effectual for the simulation research on underwater acoustic signals, and the analysis result may provide support for decision-making relative to perfecting simulation sys- tems and applying simulation signals. 展开更多
关键词 simulation underwater acoustic signal confidence in- terval similarity coefficient fuzzy uniformity.
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