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基于改进灰色模型的电力系统负荷预测
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作者 赵金龙 陈晓宁 +1 位作者 耿勇 朱瑞德 《船电技术》 2013年第5期31-34,共4页
传统的灰色预测模型因其所需历史数据少、计算快、对平稳地区的负荷预测有较高精度等优点,曾被广泛应用。但传统的灰色预测模型对于历史数据要求较高,最好为指数形式,并且在数据波动较大的情况下,其预测误差可能变得较大,不符合实际需... 传统的灰色预测模型因其所需历史数据少、计算快、对平稳地区的负荷预测有较高精度等优点,曾被广泛应用。但传统的灰色预测模型对于历史数据要求较高,最好为指数形式,并且在数据波动较大的情况下,其预测误差可能变得较大,不符合实际需要。为了减小预测误差,本文在传统灰色模型的基础上,首先对部分历史数据进行平滑处理,以确保其光滑性,同时对历史数据进行等维处理,不断的剔除旧数据,增加新数据,最后进行灰色循环残差修正,在原始数据和预测模型两个方面进行了修正,提高了电力负荷预测精度。 展开更多
关键词 GM(1 1)模型 循环残差修正模型 等维处理 负荷预测 预测精度
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High-strength composite yarns derived from oxygen plasma modified super-aligned carbon nanotube arrays 被引量:1
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作者 Haoming Wei Yang Wei +3 位作者 Yang Wu Liang Liu Shoushan Fan Kaili Jiang 《Nano Research》 SCIE EI CAS CSCD 2013年第3期208-215,共8页
Spinning carbon nanotube (CNT) yarns from super-aligned carbon nanotube (SACNT) arrays is a promising approach to fabricate high-strength fibers. However the reported tensile strengths of the as-prepared fibers ar... Spinning carbon nanotube (CNT) yarns from super-aligned carbon nanotube (SACNT) arrays is a promising approach to fabricate high-strength fibers. However the reported tensile strengths of the as-prepared fibers are far below that of an individual CNT. It is therefore still a challenge to improve their mechanical strengths. Here we report that the tensile strengths and Young's moduli can be further improved to 2.2 GPa and 200 GPa respectively, if we first treat the SACNT array with oxygen plasma by using a reactive ion etching (RIE) facility, then dry spin yarns from it and make composite fibers with polyvinyl alcohol. According to the experimental results obtained using scanning electron microscopy (SEM), Raman spectroscopy and X-ray photoelectron spectroscopy (XPS), the improvement is attributed to the oxygen RIE process, as it can create functional groups on the outer walls of CNTs and thus improve the interaction between the CNTs and the polymer molecules. 展开更多
关键词 carbon nanotube yarns super-aligned carbonnanotube array 02 plasma mechanical properties
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