Prof. zhang jinliang, north china electric power university, China
Jinliang Zhang, a distinguished expert in Energy Economics and Policy, has made significant contributions to the field of energy management and sustainable development. Born in Jiangshu, China, and a member of the Communist Party, he is highly respected for his interdisciplinary research in energy economics, energy policy, and econometric analysis. With an impressive academic background, Jinliang holds a Ph.D. in Technical Economics and Management from North China Electric Power University, and completed postdoctoral research at both Tufts University (Fletcher School) and Beijing Institute of Technology. Over the years, he has led numerous impactful projects, including those on carbon emission trading mechanisms and renewable energy optimization. As a prolific researcher and project leader, his works are shaping the future of energy systems and sustainability worldwide.
Professional Profile
Scopus
Summary of Suitability for the “Research for Best Researcher Award” for Jinliang Zhang
Jinliang Zhang demonstrates exceptional qualifications and accomplishments in the fields of energy economics, energy policy, and econometrics, making him a highly suitable candidate for the “Research for Best Researcher Award.” His strong educational background includes a Ph.D. in Technical Economics and Management, with extensive research in large systems, applied mathematics, and econometric analysis. His postdoctoral experiences at prestigious institutions, including Tufts University and Beijing Institute of Technology, have further honed his expertise in energy-related topics.
Zhang has published extensively in high-impact journals such as Energy, Applied Energy, and Sustainable Energy Technologies and Assessments. His publications primarily focus on low-carbon economic dispatching models, energy storage optimization for microgrids, and the integration of carbon capture systems in virtual power plants. These contributions are not only academically significant but also have a direct impact on sustainable energy solutions and policy formulation. His work on forecasting and energy pricing has been instrumental in advancing the understanding of electricity markets and renewable energy systems.
Education
Jinliang Zhang’s academic journey is a testament to his deep commitment to the field of energy economics and management. He obtained his B.S. in Mathematics from North China Electric Power University in 2005, where he also earned his M.A. and Ph.D. in Technical Economics and Management between 2006 and 2011. His doctoral research focused on large systems and econometric analysis, providing a strong foundation for his future endeavors in energy systems. He further honed his expertise by completing postdoctoral studies in Management Science and Engineering at Tufts University’s Fletcher School (2018-2019) and Beijing Institute of Technology (2012-2016). During these postdoctoral programs, he concentrated on energy economics, policy formulation, and econometric modeling, which led to several high-impact publications. His extensive education has been instrumental in shaping his research career and leadership in the energy field.
Professional Experience
Jinliang Zhang’s professional experience spans academia, research, and industry, making him a key figure in energy economics and management. As a postdoctoral researcher, he worked at prestigious institutions like Tufts University and Beijing Institute of Technology, focusing on energy economics, policy, and econometric models. Over the years, Jinliang has been involved in numerous cutting-edge research projects and government-funded initiatives, including carbon emissions trading mechanisms and optimization of energy storage systems for microgrids. He has also worked on electricity price forecasting and the analysis of renewable energy systems. As the project leader for various national and international research projects, he has collaborated with organizations such as the National Natural Science Foundation of China, State Grid JiBei Electric Power Company, and China Electric Power Research Institute. His expertise has been sought after to analyze and develop energy-saving and emission-reduction policies for China’s power industry.
Awards and Recognition
Jinliang Zhang has garnered significant recognition for his contributions to energy research and policy. His innovative work in the optimization of energy systems and carbon emission trading mechanisms has earned him widespread acclaim in both academia and industry. Among his notable achievements, he has received funding and support from the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, and various energy institutions. His groundbreaking research on low-carbon economic scheduling, energy storage, and electricity price forecasting has been published in top-tier journals such as Energy, Renewable Energy, and Applied Energy. Additionally, Jinliang has successfully led several high-profile projects in collaboration with governmental and corporate entities, such as the State Grid JiBei Electric Power Company and the China Electric Power Research Institute. His work has significantly influenced China’s energy policies and is widely regarded as pioneering in the field of energy economics.
Research Skills On Energy
Jinliang Zhang possesses exceptional research skills, particularly in energy economics, energy policy, and econometric analysis. His expertise lies in developing complex models for energy systems, such as those focused on optimizing energy storage, renewable energy integration, and low-carbon economic dispatch. He is skilled in using advanced econometric tools to analyze energy data, forecast electricity prices, and predict renewable energy outputs. Jinliang is also highly experienced in applying hybrid modeling techniques for short-term electricity price forecasting and wind and photovoltaic output prediction. His research in carbon emission trading and sustainable energy systems has greatly contributed to shaping policy in China and abroad. He is proficient in using statistical and mathematical modeling to solve energy-related challenges, and his ability to lead interdisciplinary research projects has earned him a reputation as a leader in the field. His strong foundation in applied mathematics, probability, and statistical analysis enhances the precision and applicability of his work.
Publication Top Notes
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Title: “Economic-emission dispatch problem in a biomass-coal co-firing CCHP system based on natural gas deep peak-shaving and carbon capture technologies”
- Authors: Jinliang Zhang, Zeping Hu
- Journal: Computers and Industrial Engineering
- Year: 2025
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Title: “A scheduling optimization model for a gas-electricity interconnected virtual power plant considering green certificates-carbon joint trading and source-load uncertainties”
- Authors: Jinliang Zhang, Ziyi Liu, Yishuo Liu
- Journal: Energy
- Year: 2025
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Title: “Inventory Optimization Model of Biomass Power Plant Considering Multiple Uncertainties”
- Authors: Jinliang Zhang, Zeping Hu
- Journal: Zhongguo Dianli/Electric Power
- Year: 2024