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142 results on '"Jiang, Meihui"'

4. Credit Risk Evaluation of Power Users in Power Sales Package Recommendation

Author

Xia, Wei, Bi, Sheng, Gao, Ciwei, Jiang, Meihui, Ming, Hao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Hu, Cungang, editor, and Cao, Wenping, editor

Published
2023
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15. An Analytical Core Loss Admittance Calculating Method and an Equivalent Circuit Modeling Method of Induction Motors Fed by Converter Considering Space-Time Harmonics

Author

Jiang, Meihui, Yi, Jiawei, Zhang, Dongdong, Guo, Xinzhi, Qin, Qiang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Chen, Weijiang, editor, Yang, Qingxin, editor, Wang, Laili, editor, Liu, Dingxin, editor, Han, Xiaogang, editor, and Meng, Guodong, editor

Published
2021
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35. Reconstructing time series into a complex network to assess the evolution dynamics of the correlations among energy prices

Author

Fang Wei, Gao Xiangyun, Huang Shupei, Jiang Meihui, and Liu Siyao

Subjects
complex network, time series, energy prices, transmission, modes, 89.75.fb, 05.45.tp, Physics, QC1-999
Abstract

Reconstructing a time series into a complex network can help uncover the dynamic information hidden in the time series. Previous studies mainly focused on the long-term relationship between two energy prices, and traditional econometric methods poorly reflect the evolution of correlations among variables from a short-term perspective. Thus, first, we divide natural gas, coal and crude oil price time series into a series of segments via a set of temporal sliding windows and then calculate the correlation coefficients for each pair of energy prices in each segment. Second, we define the correlation modes based on the correlation coefficients and a coarse graining process. Third, we reconstruct the time series into a complex network to assess the evolution dynamics of the correlations among energy prices. The results show that a few major correlation modes and transmission patterns play important roles in the evolution. The evolution of the correlation modes among energy prices exhibits a significant cluster effect. Approximately 30 days is a turning point at which one type of cluster transforms into another type. Then, we improve the betweenness centrality algorithm to measure the media capability of the correlation mode in the evolution process of different clusters. Based on the transmission probabilities between clusters, we can determine the evolution direction of the correlation modes based on energy prices. These results are useful for monitoring fluctuations in energy prices and making decisions for risk avoidance.

Published
2018
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36. Design and Test of a Less-Rare-Earth Stator-Magnet Moving-Iron Transverse-Flux Linear Oscillatory Machine for Reciprocating Drive

Author

Li, Xiang, Jiang, Meihui, Xu, Wei, Wu, Thomas, and Zhang, Dongdong

Abstract

Although the linear oscillatory machine (LOM) can directly output the reciprocating force without transmission mechanism, the most prevailing Redlich-type linear oscillatory machine (RLOM) still easily suffers from low reliability and complex fabrication process, due to its magnet mover and parallel-flux design. Moreover, it usually adopts NdFeB magnets as the only field excitation, leading to a large amount of rare-earth material consumption. In this article, a less-rare-earth stator-magnet moving-iron transverse-flux linear oscillatory machine (LSMTLOM) has been elaborately designed, to save the overall magnets cost while reaching the similar output force as that of RLOM. First, the topology evolution and the operation principle of LSMTLOM have been illustrated, and then under the same dimension and copper loss restricts, the size parameters of permanent magnets and iron core are carefully selected. Then, the three-dimensional finite-element analysis has been carried out to evaluate the performance, and some quantitative comparison with RLOM has been made. Finally, the prototype has been fabricated for experimental validation. Both the simulation and test results show that whilst keeping the same limitation as RLOM, the proposed LSMTLOM can not only reach similar output performance, but also significantly reduce both the consumption of rare earth material and the overall cost of permanent magnets.

Published
2024
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43. Consumption structure optimization for reducing energy footprint.

Author

Jiang, Meihui, Suo, Cai, Wu, Liangpeng, and Berrill, Peter

Subjects
NONFERROUS metals, ENERGY consumption, SUSTAINABLE development, METAL products, ELECTRIC power consumption, ECONOMIC expansion
Abstract

To investigate how to obtain the optimal balance between energy consumption and economic development, this paper proposes a multifactor optimization model (MFOM). Different from previous input–output optimization models, our proposed MFOM comprehensively considers the direct and indirect impacts of sectoral consumption activities on total energy consumption. The results show that MFOM achieves higher energy-saving goals by smaller adjustment to consumption activities than the previous input–output optimization models do. The results also show that the consumption of some products should be limited to achieve the energy-saving and economic growth goals, such as Non-ferrous Metal Ore Mining, Chemical Products and Ferrous Metal Ore Processing. Furthermore, the results indicate that the share of some sectors, especially high-level manufacturing sectors, significantly decreases in the consumption structure after optimization. To maintain the sustainable development of these sectors, the dependence of their production activities on energy-intensive products should be reduced. [ABSTRACT FROM AUTHOR]

Published
2023
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