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基于分层模糊神经网络的边缘侧光伏发电能量预测

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现代电力 2024年第3期41卷 490-499页

作者：张树华王继业王辰赵传奇张鋆华北电力大学电气与电子工程学院北京市昌平区102206 中国电力科学研究院有限公司北京市海淀区100192

以分布式光伏为代表的新能源广泛接入,带来业务实时响应、台区内智能分析处理等新需求,目前关于分布式新能源消纳本地自治的解决方案还鲜见报道,新能源消纳的关键在于光伏发电的准确预测与边缘物联装置研制。基于电网调度物联网,面向台... 详细信息

以分布式光伏为代表的新能源广泛接入,带来业务实时响应、台区内智能分析处理等新需求,目前关于分布式新能源消纳本地自治的解决方案还鲜见报道,新能源消纳的关键在于光伏发电的准确预测与边缘物联装置研制。基于电网调度物联网,面向台区自治快速响应的需求,提出一种结合台区能量路由器的新能源消纳本地自治解决方案,研制面向分布式新能源消纳的能源控制器,并基于分层模糊神经网络算法对光伏发电的能量进行预测。研究表明,所研制的能源控制器以及提出的分层模糊神经网络模型在边缘侧台区自治中具有一定的效果和优势。

关键词：能量路由器分布式光伏发电预测模型新能源消纳

基于双层优化VMD-LSTM的农村超短期电力负荷预测

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沈阳农业大学学报 2024年第1期55卷 92-102页

作者：王俊王继烨程坤方均鞠丹阳沈阳农业大学信息与电气工程学院沈阳110161 国网内蒙古东部电力有限公司呼伦贝尔供电公司内蒙古呼伦贝尔162650

稳定的供电是农村发展建设的有力保障,而电力负荷水平是建设效果的重要衡量标准,因此建立精确的负荷预测模型可以更准确直观显现电力负荷情况,为供电公司制定决策提供有力支撑。由于LSTM负荷预测模型在数据预测方面存在收敛性差、预测... 详细信息

稳定的供电是农村发展建设的有力保障,而电力负荷水平是建设效果的重要衡量标准,因此建立精确的负荷预测模型可以更准确直观显现电力负荷情况,为供电公司制定决策提供有力支撑。由于LSTM负荷预测模型在数据预测方面存在收敛性差、预测精度不高等问题,为提高模型的预测精度,提出一种基于双层优化VMD-LSTM的超短期电力负荷预测方法。首先提出麻雀算法优化变分模态分解(sparrow variational mode decomposition,SVMD),通过SVMD将原始数据转化为模态分量(intrinsic mode functions,IMF);其次采用改进樽海鞘群算法(association salp swarm algorithm,ASSSA)优化LSTM模型。通过引入4种策略增强标准樽海鞘算法优化能力;最后将各模态分量分别代入到新模型并进行叠加预测。选取辽宁省某市某乡村10kV变压器真实历史负荷数据,以均方根误差(RMSE)、平均绝对误差(MAE)、平均绝对百分比误差(MAPE)、拟合度(R^(2))作为评价指标,并与其他基础预测模型进行对比,结果表明,改进后的算法在计算精度、稳定性方面均优于其他基础预测模型。

关键词：长短期预测双层优化樽海鞘群算法变分模态分解叠加预测

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Quantum chemical descriptors based QSAR modeling of neodymium carboxylate catalysts for coordination polymerization of isoprene

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Chinese Journal of Chemical Engineering 2020年第7期28卷 1805-1808页

作者： Shuguang Xiang jiye wang Institute of Process Systems Engineering Qingdao University of Science&TechnologyQingdao 266042China

Based on the quantum chemical descriptors and the activities for isoprene polymerization of 12 neodymium carboxylates obtained by authors’earlier work,statistical analysis of data was made and a QSAR model correlating the quantum chemical descriptors and the activity was built with the partial least square(PLS)*** model is:A=51602εHOMO+6σ+12546,which indicates that the catalytic activity A is positively correlated with the HOMO energyεHOMOand the ligand polarizabilityσ,with the contribution ofσbeing larger,εHOMO *** model’s coefficient of determination r^2=0.96 and that of cross validation q^2=0.94,both being close to 1,which means that its quality is well and its predictive power is *** of the modeling process and the resulted QSAR model,together with the interpretation of the model’s mechanism,also shows that the model obtained from this study is valid and *** to the QSAR model,the mechanism of catalyst activity can be interpreted as that neodymium carboxylates with higher HOMO energy and larger ligand polarizability are easier to react with the co-catalysts so as to produce more active and stable centers of catalyst,resulting in a higher activity.

关键词： Neodymium carboxylate QSAR modeling Isoprene coordination polymerization Catalyst

Template-based AADL automatic code generation

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Frontiers of Computer Science 2019年第4期13卷 698-714页

作者： Kai HU Zhangbo DUAN jiye wang Lingchao GAO Lihong SHANG State Key Laboratory of Software Development Environment Beihang University Beijing 100083 China State Grid Corporation of China Beijing 100031 China Beijing China-Power Information Technology Co. Ltd State Grid Information & Telecommunication Group Beijing 100192 China

Embedded real-time systems employ a variety of operating system platforms. Consequently, for automatic code generation, considerable redevelopment is needed when the platform changes. This results in major challenges with respect to the automatic code generation process of the architecture analysis and design language (AADL). In this paper, we propose a method of template-based automatic code generation to address this issue. Templates are used as carriers of automatic code generation rules from AADL to the object platform. These templates can be easily modified for different platforms. Automatic code generation for different platforms can be accomplished by formulating the corresponding generation rules and transformation templates. We design a set of code generation templates from AADL to the object platform and develop an automatic code generation tool. Finally, we take a typical data processing unit (DPU) system as a case study to test the tool. It is demonstrated that the autogenerated codes can be compiled and executed successfully on the object platform.

关键词： real-time system template formal methods AADL automatic code generation

Ln3+(Ln=Eu,Dy)-doped Sr2CeO4 fine phosphor particles:Wet chemical preparation,energy transfer and tunable luminescence

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Journal of Rare Earths 2020年第12期38卷 1273-1280页

作者： Na Gao Yanfei Yang Shikao Shi jiye wang Shuping wang Jibiao Li Lianshe Fu Key Laboratory of Inorganic Nanomaterials of Hebei Province College of Chemistry and Materials ScienceHebei Normal UniversityShijiazhuang 050024China Physics Department and CICECO-Aveiro Institute of Materials University of Aveiro3810-193AveiroPortugal

The Sr2 CeO4:Ln3+(Ln=Eu,Dy)fine phosphor particles were prepared by a facile wet chemical approach,in which the consecutive hydrothermal-combustion reaction was *** doping of Ln3+into Sr2 CeO4 has little influence on the structure of host,and the as-prepared samples display wellcrystallized spherical or elliptical shape with an average particle size at about 100-200 *** Eu3+ions-doped Sr2 CeO4,with the increase of Eu3+-doping concentration,the blue light emission band with the maximum at 468 nm originating from a Ce4+→O2-charge transfer of the host decreases obviously and the characteristic red light emission of Eu3+(5 D0→7 F2 transition at 618 nm)is enhanced ***,the fluorescent lifetime of the broadband emission of Sr2 CeO4 decreases with the doping of Eu3+,indicating an efficient energy transfer from the host to the doping Eu3+*** ene rgy transfer efficiency from the host to Eu3+was investigated in detail,and the emitting color of Sr2 CeO4:Eu3+can be easily tuned from blue to red by varying the doping concentration of Eu3+***,the luminescence of Dy3+-doped Sr2 CeO4 was also *** energy transfer pheno menon can be observed,and the incorporation of Dy3+into Sr2 CeO4 host leads to the characteristic emission of 4 F9/2→6 H15/2(488 nm,blue light)and 4 F9/2→6 H13/2(574 nm,yellow light)of Dy3+.The Sr2 CeO4:Ln3+fine particles with tunable luminescence are quite beneficial for its potential applications in the optoelectronic fields.

关键词： Wet chemistry preparation Sr2CeO4 Ln3+ion Phosphor Luminescence Energy transfer

An Edge Visual Incremental Perception Framework Based on Deep Semi-supervised Learning for Monitoring Power Transmission Lines

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CSEE Journal of Power and Energy Systems 2023年第2期9卷 759-768页

作者： Jun Zhang jiye wang Rui Song Guozheng Peng Tianjiao Pu Shuhua Zhang College of Electrical and Information Engineering Hunan UniversityChangsha 410082China China Electric Power Research Institute Beijing 100192China

In recent years,several efforts have been made to develop power transmission line abnormal target detection models based on edge ***,updates to these models rely on participation of the cloud,which means that network resource shortages can lead to update failures,followed by unsatisfactory recognition and detection performance in practical *** address this problem,this article proposes an edge visual incremental perception framework,based on deep semisupervised learning,for monitoring power transmission *** generation of the initial model using a small amount of labeled data,models trained using this framework can update themselves based on unlabeled data.A teacher-student joint training strategy,a data augmentation strategy,and a model updating strategy are also designed and adopted to improve the performance of the models trained with this *** proposed framework is then examined with various transmission line datasets with 1%,2%,5%,and 10%labeled *** performance enhancement is thus confirmed against traditional supervised learning *** the 10%labeled data training set,the recognition accuracy of the model is improved to exceed 80%,meeting the practical needs of power system operation,and thus clearly validating the effectiveness of the framework.

关键词： Edge intelligence semi-supervised learning transmission lines monitoring visual incremental perception

Deep Mechanical Background for the Cenozoic Volcanism in the Tibetan Plateau

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Journal of China University of Geosciences 2005年第4期16卷 334-339页

作者： Xiong Xiong wang jiye Teng Jiwen Institute of Geodesy and Geophysics Chinese Academy of Sciences Wuhan 430077 China Institute of Geology and Geophysics Chinese Academy of Sciences Beij ing 100101 China Graduate School Chinese Academy of Sciences Beijing 100038 China Institute of Geology and Geophysics Chinese Academy of Sciences Beijing 100101 China

The principle prerequisite for the formation of a volcano is the generation of a channel for magma transportation. There is little research on the deep mechanical mechanism for the formation of a magma transportation channel in the Tibetan plateau. Based on the subcrustal mantle convectiongenerated stress field inversed by gravity anomalies, together with its relationship to the Cenozoic volcanism in the plateau, and the mechanism of crustal fracture formation, as well as the numerical results of the evolution of mantle convection beneath the plateau, this paper investigates the deep mechanical mechanism for the formation of a magma transportation channel in the Tibetan plateau. There are two significant extensional convection-generated stress zones beneath the plateau, in which the volcanic rocks in the central and northern parts of the plateau are distributed. The Linzizong volcanism in southern Tibet correlates the upwelling mantle flow prior to the India-Asia collision or during the early stage of the collision. The magnitude of the stress is - 100 MPa, which is the same order of force that causes crustal fractures. The evidence implies that the mantle convection-generated stress is one of the principle causes of crustal fractures, and furthermore, the formation of the magma transportation channel in the Tibetan plateau.

关键词： mantle convection stress field Tibetan plateau volcanism magma channel.

公安院校犯罪现场勘查课程实施科教融合培养模式探索与实践——以浙江警察学院为例

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科教文汇 2024年第14期 141-144页

作者：吴元钊李康王继业浙江警察学院刑事科学技术系浙江杭州310051

犯罪现场勘查作为公安院校的核心课程,其重要性不言而喻,但面临着犯罪形式多样化的新局面,传统的授课模式已经不能满足新时代公安侦查办案的需要,亟须在教学供给侧端进行改革。该文尝试在犯罪现场勘查课程教学过程中实施科教融合新模式... 详细信息

犯罪现场勘查作为公安院校的核心课程,其重要性不言而喻,但面临着犯罪形式多样化的新局面,传统的授课模式已经不能满足新时代公安侦查办案的需要,亟须在教学供给侧端进行改革。该文尝试在犯罪现场勘查课程教学过程中实施科教融合新模式,拟从融合课程思政新元素、打造全时空全要素动态现场勘查新机制、分类培养研究型人才新模式、锤炼具有“教学练战”一体化新型实训,以及将最新科研项目成果应用到教学等角度进行探索,开展新型犯罪现场勘查教学改革,以期为新时代公安民警培养提供一定的理论支撑和参考。

关键词：公安院校犯罪现场勘查教学改革科教融合公安专业课

溴敌隆对斑马鱼胚胎/仔鱼的发育毒性效应研究

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生态科学 2024年第2期43卷 177-182页

作者：吴元钊徐帆张安慧应剑波姚伟宣王继业王斌杰浙江警察学院浙江省毒品防控技术研究重点实验室杭州310051 杭州市公安局刑事科学技术研究所杭州310004

为评价第二代抗凝血类灭鼠剂溴敌隆的潜在生态毒性效应,以模式动物斑马鱼为研究对象,研究了溴敌隆对斑马鱼胚胎/仔鱼的发育毒性以及对抗氧化系统的影响。研究结果表明,当溴敌隆浓度高于0.39 mg·L^(-1)时,斑马鱼胚胎/仔鱼死亡率及畸形... 详细信息

为评价第二代抗凝血类灭鼠剂溴敌隆的潜在生态毒性效应,以模式动物斑马鱼为研究对象,研究了溴敌隆对斑马鱼胚胎/仔鱼的发育毒性以及对抗氧化系统的影响。研究结果表明,当溴敌隆浓度高于0.39 mg·L^(-1)时,斑马鱼胚胎/仔鱼死亡率及畸形率显著升高,与对照组相比具有显著性差异,斑马鱼仔鱼体内的超氧化物歧化酶(SOD)、过氧化氢酶(CAT)活性以及还原型谷胱甘肽(GSH)和丙二醛(MDA)的含量随溴敌隆浓度增大,均呈逐渐升高趋势,并在1.18 mg·L^(-1)浓度组达到最大值,具有显著差异,表明溴敌隆对斑马鱼仔鱼的抗氧化系统造成严重损伤,从而导致机体死亡。对溴敌隆暴露导致的斑马鱼胚胎/仔鱼的发育毒性以及氧化损伤的机制进行了初步探讨,为进一步研究溴敌隆对动物的发育毒性机制以及其潜在的生态危害提供了研究基础。

关键词：溴敌隆发育毒性氧化损伤斑马鱼

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