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Shuwei Zhang

Not to be confused with: Shuwei Zhang

Personal Details

First Name:Shuwei
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh722
[This author has chosen not to make the email address public]
https://scholar.google.com/citations?user=fiBLYe0AAAAJ

Affiliation

Potsdam-Institut für Klimafolgenforschung (PIK)

Germany
http://www.pik-potsdam.de/



P.O. Box 601203, 14412 Potsdam
RePEc:edi:pikpode (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Hyeongwoo Kim & Shuwei Zhang, 2018. "Understanding Why Fiscal Stimulus Can Fail through the Lens of the Survey of Professional Forecasters," Auburn Economics Working Paper Series auwp2018-04, Department of Economics, Auburn University.
  2. Li Li & S. Zhang & C. Brousseau, 2014. "Ceo Equity-based Compensation And Impression Management In The MDA Report," Post-Print hal-02098318, HAL.
  3. Frenk, J. B. G. & Labbe, M. & Zhang, S., 1989. "A Note on a Stochastic Location Problem," Econometric Institute Archives 272382, Erasmus University Rotterdam.

Articles

  1. Zhang, S. & Reimer, U. & Beale, S.B. & Lehnert, W. & Stolten, D., 2019. "Modeling polymer electrolyte fuel cells: A high precision analysis," Applied Energy, Elsevier, vol. 233, pages 1094-1103.
  2. S. Zhang & T. N. Wong, 2018. "Integrated process planning and scheduling: an enhanced ant colony optimization heuristic with parameter tuning," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 585-601, March.
  3. Zhang, S. & Mishra, Y. & Shahidehpour, M., 2017. "Utilizing distributed energy resources to support frequency regulation services," Applied Energy, Elsevier, vol. 206(C), pages 1484-1494.
  4. Xin Wang & Shuwei Zhang, 2017. "Exploring linkages among China's 2030 climate targets," Climate Policy, Taylor & Francis Journals, vol. 17(4), pages 458-469, May.
  5. A. S. Lewis & S. Zhang, 2015. "Nonsmoothness and a Variable Metric Method," Journal of Optimization Theory and Applications, Springer, vol. 165(1), pages 151-171, April.
  6. Qin, H. & Zhou, W. & Zhang, S., 2015. "Bayesian inferences of generation and growth of corrosion defects on energy pipelines based on imperfect inspection data," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 334-342.
  7. S. Zhang & G. J. Tang & M. I. Friswell & D. J. Wagg, 2014. "Multi-objective Optimization of Zero Propellant Spacecraft Attitude Maneuvers," Journal of Optimization Theory and Applications, Springer, vol. 163(3), pages 926-948, December.
  8. Hong, H.P. & Zhou, W. & Zhang, S. & Ye, W., 2014. "Optimal condition-based maintenance decisions for systems with dependent stochastic degradation of components," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 276-288.
  9. Abara, W.E. & Smith, L. & Zhang, S. & Fairchild, A.J. & Heiman, H.J. & Rust, G., 2014. "The influence of race and comorbidity on the timely initiation of antiretroviral therapy among older persons living with HIV/AIDS," American Journal of Public Health, American Public Health Association, vol. 104(11), pages 135-141.
  10. Shuwei Zhang & Nico Bauer, 2013. "Utilization of the non-fossil fuel target and its implications in China," Climate Policy, Taylor & Francis Journals, vol. 13(3), pages 328-344, May.
  11. Zhang, S. & Senteio, C. & Felizzola, J. & Rust, G., 2013. "Racial/ethnic disparities in antiretroviral treatment among HIV-infected pregnant medicaid enrollees, 2005-2007," American Journal of Public Health, American Public Health Association, vol. 103(12), pages 46-53.
  12. S. Lam & D. Li & S. Zhang, 2005. "Value Estimation Approach to the Iri-Imai Method for Constrained Convex Optimization," Journal of Optimization Theory and Applications, Springer, vol. 125(3), pages 591-608, June.
  13. B. T. Chen & K. Madsen & S. Zhang, 2005. "On the Characterization of Quadratic Splines," Journal of Optimization Theory and Applications, Springer, vol. 124(1), pages 93-111, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Zhang, S. & Reimer, U. & Beale, S.B. & Lehnert, W. & Stolten, D., 2019. "Modeling polymer electrolyte fuel cells: A high precision analysis," Applied Energy, Elsevier, vol. 233, pages 1094-1103.

    Cited by:

    1. Blandy Pamplona Solis & Julio César Cruz Argüello & Leopoldo Gómez Barba & Mayra Polett Gurrola & Zakaryaa Zarhri & Danna Lizeth TrejoArroyo, 2019. "Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells," Sustainability, MDPI, Open Access Journal, vol. 11(23), pages 1-18, November.

  2. S. Zhang & T. N. Wong, 2018. "Integrated process planning and scheduling: an enhanced ant colony optimization heuristic with parameter tuning," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 585-601, March.

    Cited by:

    1. Zhang, Sicheng & Li, Xiang & Zhang, Bowen & Wang, Shouyang, 2020. "Multi-objective optimisation in flexible assembly job shop scheduling using a distributed ant colony system," European Journal of Operational Research, Elsevier, vol. 283(2), pages 441-460.
    2. Tomoko Sakiyama & Ikuo Arizono, 2018. "Coordination of Pheromone Deposition Might Solve Time-Constrained Travelling Salesman Problem," Complexity, Hindawi, vol. 2018, pages 1-5, December.

  3. Zhang, S. & Mishra, Y. & Shahidehpour, M., 2017. "Utilizing distributed energy resources to support frequency regulation services," Applied Energy, Elsevier, vol. 206(C), pages 1484-1494.

    Cited by:

    1. Latif, Abdul & Hussain, S.M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2020. "State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems," Applied Energy, Elsevier, vol. 266(C).
    2. Li, Yujun & Xu, Zhao & Xiong, Liansong & Song, Guobing & Zhang, Jianliang & Qi, Donglian & Yang, Hongming, 2019. "A cascading power sharing control for microgrid embedded with wind and solar generation," Renewable Energy, Elsevier, vol. 132(C), pages 846-860.
    3. Zeng, Yuan & Zhang, Ruiwen & Wang, Dong & Mu, Yunfei & Jia, Hongjie, 2019. "A regional power grid operation and planning method considering renewable energy generation and load control," Applied Energy, Elsevier, vol. 237(C), pages 304-313.
    4. Shengqi Zhang & Yateendra Mishra & Bei Yuan & Jianfeng Zhao & Mohammad Shahidehpour, 2018. "Primary Frequency Controller with Prediction-Based Droop Coefficient for Wind-Storage Systems under Spot Market Rules," Energies, MDPI, Open Access Journal, vol. 11(9), pages 1-19, September.
    5. Junhui Li & Yunbao Ma & Gang Mu & Xichao Feng & Gangui Yan & Gan Guo & Tianyang Zhang, 2018. "Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation," Energies, MDPI, Open Access Journal, vol. 11(6), pages 1-16, May.

  4. Xin Wang & Shuwei Zhang, 2017. "Exploring linkages among China's 2030 climate targets," Climate Policy, Taylor & Francis Journals, vol. 17(4), pages 458-469, May.

    Cited by:

    1. Liu, Junling & Wang, Ke & Zou, Ji & Kong, Ying, 2019. "The implications of coal consumption in the power sector for China’s CO2 peaking target," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    2. Cui, Lianbiao & Li, Rongjing & Song, Malin & Zhu, Lei, 2019. "Can China achieve its 2030 energy development targets by fulfilling carbon intensity reduction commitments?," Energy Economics, Elsevier, vol. 83(C), pages 61-73.
    3. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2020. "Adjusting energy consumption structure to achieve China's CO2 emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).

  5. Qin, H. & Zhou, W. & Zhang, S., 2015. "Bayesian inferences of generation and growth of corrosion defects on energy pipelines based on imperfect inspection data," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 334-342.

    Cited by:

    1. Hazra, Indranil & Pandey, Mahesh D. & Manzana, Noldainerick, 2020. "Approximate Bayesian computation (ABC) method for estimating parameters of the gamma process using noisy data," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    2. Dann, Markus R. & Maes, Marc A., 2018. "Stochastic corrosion growth modeling for pipelines using mass inspection data," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 245-254.
    3. Sun, Xuxue & Mraied, Hesham & Cai, Wenjun & Zhang, Qiong & Liang, Guoyuan & Li, Mingyang, 2018. "Bayesian latent degradation performance modeling and quantification of corroding aluminum alloys," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 84-96.
    4. Dann, Markus R. & Dann, Christoph, 2017. "Automated matching of pipeline corrosion features from in-line inspection data," Reliability Engineering and System Safety, Elsevier, vol. 162(C), pages 40-50.
    5. Choi, Woosung & Youn, Byeng D. & Oh, Hyunseok & Kim, Nam H., 2019. "A Bayesian approach for a damage growth model using sporadically measured and heterogeneous on-site data from a steam turbine," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 137-150.
    6. Mason, Paolo, 2017. "A Bayesian analysis of component life expectancy and its implications on the inspection schedule," Reliability Engineering and System Safety, Elsevier, vol. 161(C), pages 87-94.

  6. Hong, H.P. & Zhou, W. & Zhang, S. & Ye, W., 2014. "Optimal condition-based maintenance decisions for systems with dependent stochastic degradation of components," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 276-288.

    Cited by:

    1. de Jonge, Bram & Klingenberg, Warse & Teunter, Ruud & Tinga, Tiedo, 2016. "Reducing costs by clustering maintenance activities for multiple critical units," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 93-103.
    2. Olde Keizer, Minou C.A. & Teunter, Ruud H. & Veldman, Jasper, 2017. "Joint condition-based maintenance and inventory optimization for systems with multiple components," European Journal of Operational Research, Elsevier, vol. 257(1), pages 209-222.
    3. de Jonge, Bram, 2019. "Discretizing continuous-time continuous-state deterioration processes, with an application to condition-based maintenance optimization," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 1-5.
    4. Vu, Hai Canh & Do, Phuc & Barros, Anne & Bérenguer, Christophe, 2014. "Maintenance grouping strategy for multi-component systems with dynamic contexts," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 233-249.
    5. Caballé, N.C. & Castro, I.T. & Pérez, C.J. & Lanza-Gutiérrez, J.M., 2015. "A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 98-109.
    6. Li, Heping & Deloux, Estelle & Dieulle, Laurence, 2016. "A condition-based maintenance policy for multi-component systems with Lévy copulas dependence," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 44-55.
    7. Ossai, Chinedu I. & Boswell, Brian & Davies, Ian J., 2016. "A Markovian approach for modelling the effects of maintenance on downtime and failure risk of wind turbine components," Renewable Energy, Elsevier, vol. 96(PA), pages 775-783.
    8. Zhang, Xiaohong & Zeng, Jianchao, 2017. "Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems," European Journal of Operational Research, Elsevier, vol. 262(2), pages 479-498.
    9. MERCIER, Sophie & CASTRO, I.T., 2019. "Stochastic comparisons of imperfect maintenance models for a gamma deteriorating system," European Journal of Operational Research, Elsevier, vol. 273(1), pages 237-248.
    10. Alaswad, Suzan & Xiang, Yisha, 2017. "A review on condition-based maintenance optimization models for stochastically deteriorating system," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 54-63.
    11. Ekin, Tahir, 2018. "Integrated maintenance and production planning with endogenous uncertain yield," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 52-61.
    12. Salari, Nooshin & Makis, Viliam, 2017. "Comparison of two maintenance policies for a multi-unit system considering production and demand rates," International Journal of Production Economics, Elsevier, vol. 193(C), pages 381-391.
    13. Truong Ba, H. & Cholette, M.E. & Borghesani, P. & Zhou, Y. & Ma, L., 2017. "Opportunistic maintenance considering non-homogenous opportunity arrivals and stochastic opportunity durations," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 151-161.
    14. Lam, Ji Ye Janet & Banjevic, Dragan, 2015. "A myopic policy for optimal inspection scheduling for condition based maintenance," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 1-11.
    15. Wu, Fan & Niknam, Seyed A. & Kobza, John E., 2015. "A cost effective degradation-based maintenance strategy under imperfect repair," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 234-243.
    16. Zhao, Xufeng & Liu, Hu-Chen & Nakagawa, Toshio, 2015. "Where does “whichever occurs first†hold for preventive maintenance modelings?," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 203-211.
    17. Zhou, W. & Xiang, W. & Hong, H.P., 2017. "Sensitivity of system reliability of corroding pipelines to modeling of stochastic growth of corrosion defects," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 428-438.
    18. Shahraki, Ameneh Forouzandeh & Yadav, Om Prakash & Vogiatzis, Chrysafis, 2020. "Selective maintenance optimization for multi-state systems considering stochastically dependent components and stochastic imperfect maintenance actions," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    19. Liu, Xinbao & Yang, Tianji & Pei, Jun & Liao, Haitao & Pohl, Edward A., 2019. "Replacement and inventory control for a multi-customer product service system with decreasing replacement costs," European Journal of Operational Research, Elsevier, vol. 273(2), pages 561-574.
    20. Olde Keizer, Minou C.A. & Flapper, Simme Douwe P. & Teunter, Ruud H., 2017. "Condition-based maintenance policies for systems with multiple dependent components: A review," European Journal of Operational Research, Elsevier, vol. 261(2), pages 405-420.
    21. Zhu, Wenjin & Fouladirad, Mitra & Bérenguer, Christophe, 2016. "A multi-level maintenance policy for a multi-component and multifailure mode system with two independent failure modes," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 50-63.
    22. Zhang, Jian & Huang, Xiaoyan & Fang, Youtong & Zhou, Jing & Zhang, He & Li, Jing, 2016. "Optimal inspection-based preventive maintenance policy for three-state mechanical components under competing failure modes," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 95-103.
    23. Azadeh, A. & Asadzadeh, S.M. & Salehi, N. & Firoozi, M., 2015. "Condition-based maintenance effectiveness for series–parallel power generation system—A combined Markovian simulation model," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 357-368.
    24. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    25. Shafiee, Mahmood & Finkelstein, Maxim, 2015. "An optimal age-based group maintenance policy for multi-unit degrading systems," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 230-238.
    26. Liu, Bin & Zhao, Xiujie & Liu, Guoquan & Liu, Yiqi, 2020. "Life cycle cost analysis considering multiple dependent degradation processes and environmental influence," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    27. Sakurahara, Tatsuya & O'Shea, Nicholas & Cheng, Wen-Chi & Zhang, Sai & Reihani, Seyed & Kee, Ernie & Mohaghegh, Zahra, 2019. "Integrating renewal process modeling with Probabilistic Physics-of-Failure: Application to Loss of Coolant Accident (LOCA) frequency estimations in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.

  7. Shuwei Zhang & Nico Bauer, 2013. "Utilization of the non-fossil fuel target and its implications in China," Climate Policy, Taylor & Francis Journals, vol. 13(3), pages 328-344, May.

    Cited by:

    1. Wenbin Lin & Alun Gu & Xin Wang & Bin Liu, 2016. "Aligning emissions trading and feed-in tariffs in China," Climate Policy, Taylor & Francis Journals, vol. 16(4), pages 434-455, May.
    2. Yang Liu & Taoyuan Wei, 2016. "Linking the emissions trading schemes of Europe and China - Combining climate and energy policy instruments," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(2), pages 135-151, February.
    3. Mittal, Shivika & Dai, Hancheng & Fujimori, Shinichiro & Masui, Toshihiko, 2016. "Bridging greenhouse gas emissions and renewable energy deployment target: Comparative assessment of China and India," Applied Energy, Elsevier, vol. 166(C), pages 301-313.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DGE: Dynamic General Equilibrium (3) 2018-08-27 2018-11-05 2020-01-06
  2. NEP-MAC: Macroeconomics (3) 2018-08-27 2018-11-05 2020-01-06

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