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| 1 | Wind power prediction based on variational mode decomposition multi-frequency combinations显示文摘Because of the uncertainty and randomness of wind speed, wind power has characteristics such as nonlinearity and multiple frequencies. Accurate prediction of wind power is one effective means of improving wind power integration. Because the traditional single model cannot fully characterize the fluctuating characteristics of wind power, scholars have attempted to build other prediction models based on empirical mode decomposition(EMD) or ensemble empirical mode decomposition(EEMD) to tackle this problem. However, the prediction accuracy of these models is affected by modal aliasing and illusive components. Aimed at these defects, this paper proposes a multi-frequency combination prediction model based on variational mode decomposition(VMD). We use a back propagation neural network(BPNN),autoregressive moving average(ARMA)model, and least square support vector machine(LS-SVM) to predict high, intermediate,and low frequency components,respectively. Based on the predicted values of each component, the BPNN is applied to combine them into a final wind power prediction value.Finally,the prediction performance of the single prediction models(ARMA,BPNN and LS-SVM)and the decomposition prediction models(EMD and EEMD) are used to compare with the proposed VMD model according to the evaluation indices such as average absolute error, mean square error,and root mean square error to validate its feasibility and accuracy. The results show that the prediction accuracy of the proposed VMD model is higher. | Gang ZHANG Hongchi LIU Jiangbin ZHANG Ye YAN Lei ZHANG Chen WU Xia HUA Yongqing WANG | 2019 | Journal of Modern Power Systems and Clean Energy2019，7，2： | 10 |
| 2 | A Color Image Watermarking Scheme in the Associated Domain of DWT and DFT Domains Based on Multi-channel Watermarking Framework显示文摘 | ZHENG Jiangbin ZHENG Jiangbin FENG Sha FENG Sha ZHANG Yanning ZHANG Yanning | 2009 | Chinese Journal of Electronics2009，18，4： | 3 |
| 3 | MiR-143 enhances adipogenic differentiation of 3T3-L1 cells through targeting the coding region of mouse pleiotrophin显示文摘 | Can Yi Wei-dong Xie Fu Li Qing Lv Jie He Jiangbin Wu Dayong Gu Naihan Xu Yaou Zhang | 2011 | FEBS Letters2011，，： | 1 |
| 4 | Background lead and cadmium exposure of adult women in Xian City and two farming villages in Shaanxi Province,China显示文摘 | WATANABE T ZHANG Zuowen QU Jiangbin | 2000 | The Science of the Total Environment2000，247，： | 1 |
| 5 | Rapid and sensi-tive LC-MS/MS assay for the quantitation of 20(S)-protopanaxadi-ol in human plasma显示文摘 | Zhang Dan Yingwu Wang Jiangbin Han | 2009 | Journal of Chromatography B2009，877，56： | 1 |
| 6 | Pegylated interferon α‐2a plus ribavirin for decompensated hepatitis C virus‐related cirrhosis: relationship between efficacy and cumulative dose显示文摘 | Yan Xu Wenqian Qi Xu Wang Ping Zhao Yonggui Zhang Qian Zhang Shaoyou Qin Jiangbin Wang | 2014 | Liver Int2014，，10： | 1 |
| 7 | TOWARDS AN INTEGRAL STRATEGY FOR MODELLING UNCERTAIN GEOSPATIAL DATA显示文摘This paper endeavours to put the discussion on errors and uncertainties in geographical information systems (GISs) in a more systematic way by examining the strength and weakness of discrete objects and continuous fields, the two distinct schools of spatial data modelling. In doing so, it argues that neither discrete objects nor continuous fields alone provide objective and complete representations of highly complex geographical phenomena, though there are good reasons for asserting that continuous fields are better suited to modelling spatial dependence, heterogeneity and fuzziness significant in geographical reality than discrete objects. Thus, there seems to be merit in adopting an integrated model incorporating analytical capabilities of fields and generalization functions of objects, for which extended TIN(triangulated irregular network) models along with their duals (Voronoi diagrams) provide a pragmatical solution. | Zhang Jingxiong R. P. Kirby Lu Jiangbin | 1999 | Geo-Spatial Information Science1999，2，1： | 0 |
| 8 | Wind Power Prediction Based on Variational Mode Decomposition and Feature Selection显示文摘Accurate wind power prediction can scientifically arrange wind power output and timely adjust power system dispatching plans. Wind power is associated with its uncertainty,multi-frequency and nonlinearity for it is susceptible to climatic factors such as temperature, air pressure and wind speed.Therefore, this paper proposes a wind power prediction model combining multi-frequency combination and feature selection.Firstly, the variational mode decomposition(VMD) is used to decompose the wind power data, and the sub-components with different fluctuation characteristics are obtained and divided into high-, intermediate-, and low-frequency components according to their fluctuation characteristics. Then, a feature set including historical data of wind power and meteorological factors is established, which chooses the feature sets of each component by using the max-relevance and min-redundancy(m RMR) feature selection method based on mutual information selected from the above set. Each component and its corresponding feature set are used as an input set for prediction afterwards. Thereafter, the high-frequency input set is predicted using back propagation neural network(BPNN), and the intermediate-and low-frequency input sets are predicted using least squares support vector machine(LS-SVM). After obtaining the prediction results of each component, BPNN is used for integration to obtain the final predicted value of wind power, and the ramping rate is verified. Finally, through the comparison, it is found that the proposed model has higher prediction accuracy. | Gang Zhang Benben Xu Hongchi Liu Jinwang Hou Jiangbin Zhang | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，6： | 0 |
| 9 | Study of Uranium Plating Prepared by Electro-deposition Method显示文摘Uranium plating prepared by electro-deposition method can be used in high temperature fission ionization chamber,so it’s an important work to determine the optimum preparation conditions and detect the quality and thickness of the uranium plating coating.In this paper,the optimum process conditions for the preparation of uranium plating are determined by discussing the effects of different concentrations of uranium solution,temperature,pH and current density on the electro-deposition efficiency and coating quality. | SHAO Junqi ZHAO Jiangbin HE Gaokui ZHANG Xiangyang LIU Yang GUO Li | 2018 | 中国原子能科学研究院年报2018，，1： | 0 |
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