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考虑源-荷不确定性的省间电力现货市场潮流风险概率评估

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电网技术 2024年第9期48卷 3735-3744,I0065页

作者：武振荣杨建宾叶林王德林王超史昕崔晖王方雨中国农业大学信息与电气工程学院北京市海淀区100083 国家电力调度控制中心北京市西城区100031 国网大数据中心北京市西城区100031 中国电力科学研究院有限公司北京市海淀区100192 国网北京市电力公司电力科学研究院北京市丰台区100075

新型电力系统建设背景下可再生能源占比逐渐提高,源-荷双侧不确定性使省间电力现货市场运行风险增加。针对该问题,提出一种考虑源-荷双侧不确定性的省间电力现货市场联络线潮流风险概率评估方法。首先,分析源-荷双侧不确定性对省间电力... 详细信息

新型电力系统建设背景下可再生能源占比逐渐提高,源-荷双侧不确定性使省间电力现货市场运行风险增加。针对该问题,提出一种考虑源-荷双侧不确定性的省间电力现货市场联络线潮流风险概率评估方法。首先,分析源-荷双侧不确定性对省间电力现货市场出清的影响,建立源-荷联合不确定性模型为市场出清提供数据基础。然后,设计省间电力现货市场出清双层优化模型,以计算省间联络线的潮流出清结果。最后,为表征源-荷双侧不确定性给电力市场出清安全带来的风险,提出联络线容量占用率、潮流概率稳定度和潮流稳定风险度等多个指标对联络线潮流进行了不确定性风险评估。利用某省电力公司数据进行了仿真测试,并将结果与不同不确定性建模方法、不同置信区间下的评估结果对比,验证了所提方法的有效性。

关键词：源-荷不确定性省间电力现货市场概率分析风险评估

A new chronic ulcerative colitis model produced by combined methods in rats

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World Journal of Gastroenterology 2000年第5期6卷 742-746页

作者： Xue Liang Jiang hui Fei cui Department of Gastroenterology Chinese PLA General Hospital of Jinan CommandJinan 25003lChina Department of Biochemical Pharrnaceutics Shandong Medical UniversityJinan 250012Shandong ProvinceChina

INTRODUCTIONThe etiopathogenesis of ulcerative colitis (UC)remains obscure,due to lack of an ideal *** thc improvement of theory andmethodology in the last 30 years,people used toadopt chemicals(acetic acid,ethanol,carrageen,etc.),immunotechniques(humoral or cellularimmunity,immune complex) and substance derivedfrom UC patients to set up various kinds of UCanimal model,which mimic the pathologic changesof human UC,so far these remain far

关键词： colitis ulcerative animal model 2,4-dinitrochlorobenzene acetic acids apoptosis flow cytometry intestinal mucosa/pathology

Highly stretchable, electrically conductive textiles fabricated from silver nanowires and cupro fabrics using a simple dipping-drying method

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Nano Research 2015年第5期8卷 1604-1614页

作者： hui-Wang cui Katsuaki Suganuma Hiroshi Uchida Institute of Scientific and Industrial Research Osaka University Mihogaoka 8-1 Ibaraki Osaka 567-0047 Japan Institute for Polymers and Chemicals Business Development Center Showa Denko K. K. 5-1 Yawata Kaigan Dori Ichihara Chiba 290-0067 Japan

In this study, we combined silver nanowires with cupro fabrics using a dipping- drying method to prepare electrically conductive fabrics. The silver nanowires were first adhered to and then absorbed by microfibers to form electrically conductive fibers. They also filled the gaps and spaces between the microfibers, and were stacked or piled together to form networks with high electrical conductivity. The electrically conductive fabric had low resistance and good stretchability, e.g., 0.0047-0.0091 Ωin the strain range of 0-190%. They also exhibited stable electrical conductivity, as well as excellent flexibility, which remained even when the fabric was stretched, shrunk, or bent. The results show that the electrically conductive fabric can be used as a smart textile, especially in fields associated with weaving, clothing, food products, lifestyle products, medicine, biology, electronics, aviation, and military equipment and accessories.

关键词： fabrics/textiles metals smart materials electrical properties

Parallel Incremental Frequent Itemset Mining for Large Data

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Journal of Computer Science & Technology 2017年第2期32卷 368-385页

作者： Yu-Geng Song hui-Min cui Xiao-Bing Feng State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China

Frequent itemset mining （FIM） is a popular data mining issue adopted in many fields, such as commodity recommendation in the retail industry, log analysis in web searching, and query recommendation （or related search）. A large number of FIM algorithms have been proposed to obtain better performance, including parallelized algorithms for processing large data volumes. Besides, incremental FIM algorithms are also proposed to deal with incremental database updates. However, most of these incremental algorithms have low parallelism, causing low efficiency on huge databases. This paper presents two parallel incremental FIM algorithms called IncMiningPFP and IncBuildingPFP, implemented on the MapReduce framework. IncMiningPFP preserves the FP-tree mining results of the original pass, and utilizes them for incremental calculations. In particular, we propose a method to generate a partial FP-tree in the incremental pass, in order to avoid unnecessary mining work. Further, some of the incremental parallel tasks can be omitted when the inserted transactions include fewer items. IncbuildingPFP preserves the CanTrees built in the original pass, and then adds new transactions to them during the incremental passes. Our experimental results show that IncMiningPFP can achieve significant speedup over PFP （Parallel FPGrowth） and a sequential incremental algorithm （CanTree） in most cases of incremental input database, and in other cases IncBuildingPFP can achieve it.

关键词： incremental parallel FPGrowth data mining frequent itemset mining MapReduce

双面沟槽型^(6)LiF/α-Al_(2)O_(3):C光释光中子探测器研制与性能研究

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核动力工程 2024年第S01期45卷 215-220页

作者：樊海军崔辉王善强王尊刚周红召陈文卓唐开勇国民核生化灾害防护国家重点实验室北京102205

中子个人剂量监测对核电厂、核动力装置、研究堆和高能加速器等核设施工作人员具有重要意义。光释光技术具有读出速度快和多次重复读取等优点,是中子个人剂量监测的重要发展方向。本文设计了一种双面沟槽型^(6)LiF/α-Al_(2)O_(3):C光... 详细信息

中子个人剂量监测对核电厂、核动力装置、研究堆和高能加速器等核设施工作人员具有重要意义。光释光技术具有读出速度快和多次重复读取等优点,是中子个人剂量监测的重要发展方向。本文设计了一种双面沟槽型^(6)LiF/α-Al_(2)O_(3):C光释光中子探测器(DS-TSOSLND),采用蒙特卡罗程序Geant4计算分析了不同沟槽宽度、深度和沟槽比对探测器性能的影响规律,探索其中子探测机理。基于Geant4模拟计算结果,结合目前α-Al_(2)O_(3):C晶体微结构加工工艺条件,成功制备了DS-TSOSLND。^(137)Cs源和重水慢化^(252)Cf中子源测试结果表明,新研制的DS-TSOSLND中子探测阈为10.3μSv,0.05~20 mSv内其中子剂量响应呈线性关系,在中子个人剂量监测领域具有广阔的应用前景。

关键词：双面沟槽结构光释光中子探测器 α-Al_(2)O_(3):C Geant4

两种白颖苔草对梯度NaCl胁迫的生理生化响应及综合评价

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草地学报 2024年第3期32卷 736-745页

作者：吴一鸣崔会婷张昆李跃李明娜孙彦中国农业大学草业科学与技术学院北京100193 中国农业科学院北京畜牧兽医研究所北京100193 青岛农业大学草业学院山东青岛266100

本试验以两个白颖苔草(Carex rigescens)品种‘绿坪1号’和‘绿坪2号’为材料,使用0,100,200和300 mmol·L^(-1)NaCl处理21 d,对处理后白颖苔草叶片进行了叶绿素含量、相对电导率、相对含水量、过氧化氢含量、丙二醛含量、钾钠比、净光... 详细信息

本试验以两个白颖苔草(Carex rigescens)品种‘绿坪1号’和‘绿坪2号’为材料,使用0,100,200和300 mmol·L^(-1)NaCl处理21 d,对处理后白颖苔草叶片进行了叶绿素含量、相对电导率、相对含水量、过氧化氢含量、丙二醛含量、钾钠比、净光合速率、气孔导度、胞间二氧化碳浓度、蒸腾速率、超氧化物歧化酶和过氧化物酶活性指标的测定,并对各测定值进行隶属函数分析比较,探究两种白颖苔草在长期盐胁迫下的耐盐特性。结果表明:‘绿坪1号’中丙二醛含量和过氧化氢含量在盐浓度300 mmol·L^(-1)处理后比对照相比有更大幅度的上升;两材料中超氧化物歧化酶和过氧化物酶活性变化不一致。随后经过相关性分析、主成分分析和隶属函数分析,提取3个主成分作为白颖苔草耐盐性评价的综合指标,经过计算得出耐盐性较强的是‘绿坪2号’。研究结果对白颖苔草在盐碱地利用及后续耐盐机理研究具有参考意义。

关键词：白颖苔草盐胁迫抗氧化酶活性隶属函数综合评价

Pressure-induced bimetallic carbon nanotubes from metalorganic frameworks as optimized bifunctional electrocatalysts for water splitting

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Rare Metals 2023年第1期42卷 155-164页

作者： Hong-Xu Chen hui Xu Zhi-Rong Song Yi Liu hui cui Jun-Kuo Gao Key Laboratory of Rare Earth Optoelectronic Materials and Devices of Zhejiang Province Institute of Optoelectronic Materials and DevicesCollage of Optical and Electronic TechnologyChina Jiliang UniversityHangzhou310018China Institute of Functional Porous Materials School of Materials Science and EngineeringZhejiang Sci-Tech UniversityHangzhou310018China Institute for Composites Science Innovation School of Materials Science and EngineeringZhejiang UniversityHangzhou310027China Argonne National Laboratory Physics DivisionLemontIL60439USA Department of Chemistry and International Institute for Nanotechnology(IIN) Northwestern UniversityEvanstonIL60208USA

Carbon nanotubes(CNTs)have attracted great interest in numerous applications due to their excellent electronic and structural ***,harsh synthesis conditions and high energy consumption limit the further application of ***,we developed a facile and innovative strategy to generate CNTs by physically pressurizing metal-organic frameworks(MOFs)and then *** synthesized bimetallic nitrogen/sulfur double-doped carbon nanotubes are denoted as Fe_(x)Co_(1-x)P(x=0.5,0.6,0.7,0.8,0.9).The introduction of pressure not only revolutionized the morphology of the electrocatalysts,but also enhanced the activity of oxygen evolution reaction(OER)and hydrogen evolution reaction(HER)in alkaline ***_(0.6)Co_(0.4)-P exhibits superior OER and HER performances in 1.0 mol·L^(-1)KOH solution with overpotentials of 364 and 346 mV at 10 mA·cm^(-2),which are 28 and 5 mV lower than unpressurized Fe0.6Co0.4.

关键词： Metal-organic frameworks(MOFs) Carbon nanotubes(CNTs) Bifunctional Pressurizing Oxygen evolution reaction(OER) Hydrogen evolution reaction(HER)

Will China achieve its 2060 carbon neutral commitment from the provincial perspective?

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Advances in Climate Change Research 2022年第2期13卷 169-178页

作者： Li-Li SUN hui-Juan cui Quan-Sheng GE Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China CNOOC Research Institute Ltd. Beijing 100027China

China has pledged to peak carbon emissions before 2030 and strive to achieve carbon neutrality before ***,the significant variations of provincial carbon emissions make it unclear whether they can jointly fulfill the national carbon peak and neutrality ***,this study predicts the emission trajectories at provincial level in China by employing the extended STIRPAT(Stochastic Impacts by Regression on Population,Affluence,and Technology)model to see the feasibility and time of reaching peak carbon emissions and carbon *** found that most provinces can achieve peak emission before 2030 but challenging to achieve carbon neutrality before 2060,even considering the ecological carbon *** provincial neutrality time is concentrated between 2058 and 2070;the sooner the carbon emission peaks,the earlier the carbon neutral will be *** aggregated carbon emissions at provincial level show that China can achieve its carbon emission peak of 9.64-10.71 Gt before 2030,but it is unlikely to achieve the carbon neutrality goal before 2060 without carbon capture,utilization,and storage(CCUS).With high CCUS development,China is expected to achieve carbon neutrality in 2054-2058,irrespective of the socio-economic *** low CCUS development,China's carbon neutrality target will be achieved only under the accelerated-improvement scenario,while it will postpone to 2061 and 2064 under the continued-improvement and the business-as-usual scenarios,respectively.

关键词： China's carbon neutrality Peak emission Provincial emission CCUS STIRPAT

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基于Spark平台的分类算法性能比较分析

计算机与数字工程 2024年第3期52卷 688-691,704页

作者：赵蕾夏吉安吴洋崔辉南京工业职业技术大学计算机与软件学院南京210023

针对目前大数据与机器学习技术的快速发展,使用基于Spark平台的MLlib机器学习库实现前馈神经网络(Feedforward Artificial Neural Network)、支持向量机(Support Vector Machine)与随机森林(Random Forest)三种机器学习算法,并分析与评... 详细信息

针对目前大数据与机器学习技术的快速发展,使用基于Spark平台的MLlib机器学习库实现前馈神经网络(Feedforward Artificial Neural Network)、支持向量机(Support Vector Machine)与随机森林(Random Forest)三种机器学习算法,并分析与评估三种算法在大数据平台下的运行与分类性能。实验结果表明,随着节点数的增加,三种算法在大数据平台上消耗的时间都逐步变少。当数据集小于100MB时神经网络与支持向量机算法加速比较高,数据集大于1GB时随机森林算法加速比优于其他两种算法。神经网络算法在数据集100MB时可扩展性最小,支持向量机算法在数据集500MB时可扩展性最小。随机森林算法在数据集大于1GB时规模增长性优于其他两种算法。通过对于三种分类算法的时间效率与准确性比较,支持向量机算法消耗的时间最少,但是分类准确性最低。神经网络算法消耗的时间最长,分类准确性低于随机森林算法。随机森林算法的分类准确性最高,但是算法运行时间高于支持向量机算法。集成分类算法在大数据平台上表现出较好的时间性能与分类准确性。

关键词：大数据 Hadoop框架 Spark框架机器学习性能评估