Европейская академия
естественных наук

Hannover E.V.

 
 

Liu DunnanLiu Dunnan


Personal profile

Liu Dunnan, born in July 1979, is a doctoral supervisor, professor, and vice dean of the School of Economics and Management at North China Electric Power University. From September 1997 to June 2008, he obtained bachelor's, master's, and doctoral degrees from the Department of Electrical Engineering at Tsinghua University, and completed postdoctoral research under the guidance of Academician Lu Qiang.

Discipline construction:

Since working in 2008, he has served as the Director of the Teaching and Research Office, the Head of Industrial Engineering, and the Vice Dean of Scientific Research at the School of Economics and Management. He serveda long stint as the discipline construction of Business Administration and Industrial Engineering, undertaking one provincial-level professional reform project and one school level educational reform project each. He has contacted 4 off campus internship practice bases, independently developed 3 teaching simulation systems, and organized more than 10 academic presentations.

Awards in the past 5 years:

  1. Key Technologies and Applications of Electric Vehicle Load Aggregation Control and Consumption of New Energy ---Beijing Provincial Science and Technology Progress Award.
  2. Key technologies and applications of interactive trading between new energy and pluralistic users ---Hebei Provincial Science and Technology Progress Award.
  3. Research and application of key technologies for high proportion new energy consumption on the sales side ---Hebei Provincial Science and Technology Progress Award.
  4. Key technologies and applications of market-oriented trading for collaborative interaction between new energy and demand side resources ---Hebei Provincial Science and Technology Progress Award.

Papers in the past 5 years:

  1. Design of Continuous Operation Scheme of Electric Power Medium-and Long-term Market Based on Standard Energy Block Contracts
  2. Flexible Block Order Trading Clearing Model for New Power Systems
  3. Optimal Scheduling of Electric Vehicle Load for Large-scale Battery Charging and Swapping Based on Deep Reinforcement Learning
  4. What causes growth of global greenhouse gas emissions? Evidence from 40 countries
  5. Can China achieve its carbon emission peaking? A scenario analysis based on STIRPAT and system dynamics model


 

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