North China Electric Power University - China
AUTHOR PROFILE
EARLY ACADEMIC PURSUITS:
Ruifeng Shi commenced his academic journey at Beijing University of Aeronautics and Astronautics (BUAA), China. He earned a Ph.D. in System Engineering from September 2002 to January 2006. His doctoral project, "Hierarchical Production Planning Modeling and Its Optimization with Modern Heuristic Algorithms," showcased his early commitment to advancing engineering methodologies.
Following this, he pursued a Master's in Aircraft Design at BUAA from September 1999 to March 2002, where his research focused on "Modeling and Performance Evaluation of Aircraft Conceptual Design." This was preceded by a Bachelor's in Aircraft Design from September 1995 to July 1999.
PROFESSIONAL ENDEAVORS:
Since April 2008, Ruifeng Shi has been a Professor at North China Electric Power University (NCEPU). His teaching spans courses such as "Introduction to System Engineering" for undergraduates and "Theory on System Decision Making Analysis" for Master's students. His significant contributions include research in Self-Contained Transportation Energy System Planning and Optimal Scheduling, and Electric Vehicle Charging/V2G Discharging Infrastructure Planning.
He enriched his international experience as a Visiting Scholar at Baylor University, USA, from August 2014 to August 2015. During this period, his research focused on multiple objective optimization in Electric Vehicle charging station planning with SPEA-II and the study of V2G-based Residential Microgrid with Uncertain Wind Power and Electric Vehicles.
Additionally, he served as the Project Manager of Communication Department for the Ministry of Science and Technology of the People's Republic of China from September 2011 to April 2012, contributing to the management of 863 program projects.
CONTRIBUTIONS AND RESEARCH FOCUS:
Ruifeng Shi's research portfolio encompasses diverse areas, including Self-Contained Transportation Energy Systems, Electric Vehicle Infrastructure Planning, and Optimal Scheduling. His notable contributions include the development of a Multi-objective Escalating Evolutionary Algorithm and its application to Production Scheduling.
IMPACT AND INFLUENCE:
His impact is evident in numerous research projects where he served as a Project Leader, addressing critical issues such as Green Electricity Trading, Electric Vehicle V2G Operation System, and "Green Self-sufficient" Projects on Sichuan Freeways. His leadership role in these projects underscores his influence in addressing real-world challenges.
ACADEMIC CITES:
Ruifeng Shi's work is disseminated through various projects and publications, contributing significantly to academic discourse. The research on Multi-objective Escalating Evolutionary Algorithm has likely garnered attention and citations in the academic community.
LEGACY AND FUTURE CONTRIBUTIONS:
As a Project Leader in a multitude of research initiatives, Ruifeng Shi continues to shape the landscape of transportation energy systems and infrastructure planning. His leadership in projects related to Clean Energy, Vehicle Grid Flexible Control, and Collaborative Planning further establishes his legacy in sustainable energy solutions. The diverse range of projects highlights his commitment to addressing the complex challenges of our time.
NOTABLE PUBLICATION
Annotated survey and perspectives on rail transport energy system RAMS evaluation technology.