Yi Yan - Environmental Engineering - Best Researcher Award

Shandongjianzhu University - China

AUTHOR PROFILE

SCOPUS

EDUCATION AND ACADEMIC ACHIEVEMENTS

Dr. Yi Yan, a distinguished scholar, is currently a teacher at Shandong Jianzhu University. He has played a pivotal role in advancing scientific knowledge by presiding over and participating in four projects funded by the National Natural Science Foundation of China (NSFC). His academic prowess is further evidenced by his contribution to more than ten SCI and EI papers in the past five years, alongside authorizing over ten national invention patents. Dr. Yan is highly regarded in the academic community, serving as an evaluation expert for the NSFC and as a reviewer for top international and domestic journals, including Applied Energy and Energy and Building.

RESEARCH AND DEVELOPMENT CONTRIBUTIONS

Dr. Yan's primary research focus is on the marketization of distributed integrated energy systems and operation optimization. His innovative work includes constructing a market participation method for multilayer community integrated energy systems. By addressing multiple types of energy subjects in an independent source-load-storage-station framework through a multilayer game model, Dr. Yan has broken the bottleneck of independent market participation for energy storage subjects. His research emphasizes fairness in market-based energy systems, paving the way for more equitable and effective energy system market participation.

INNOVATIVE APPROACHES

Dr. Yan's research has introduced groundbreaking methods to enhance the efficiency and fairness of energy systems. His work on multilayer game models and market participation methods stands out as a significant contribution to the field. These innovations not only optimize energy systems operations but also ensure a more balanced and fair market environment for all energy stakeholders.

IMPACTFUL PUBLICATIONS

Dr. Yan has a robust portfolio of impactful publications in top-tier journals. His research findings have been published in renowned journals such as Applied Energy and Energy, showcasing his commitment to advancing the field of energy systems. These publications highlight the practical implications of his research and its potential to transform energy markets.

EXTENSION ACTIVITIES AND COMMUNITY ENGAGEMENT

Beyond his research, Dr. Yan is actively involved in extension activities that bridge the gap between academia and industry. His engagement in State Grid's scientific and technological projects underscores his dedication to applying research findings to real-world challenges. Through these activities, Dr. Yan contributes to the development of practical solutions that enhance the performance and sustainability of energy systems.

TECHNICAL SKILLS AND EXPERTISE

Dr. Yan's expertise extends to various technical skills essential for energy systems research and development. His proficiency in modeling, simulation, and optimization techniques enables him to tackle complex problems and develop innovative solutions. These skills are crucial for advancing the efficiency and sustainability of integrated energy systems.

FUTURE DIRECTIONS AND GOALS

Looking ahead, Dr. Yan aims to continue his research on optimizing energy systems and enhancing market participation fairness. His future work will likely focus on developing new models and methods to further improve the performance and equity of energy markets. Dr. Yan's commitment to innovation and excellence ensures that his contributions will remain impactful and relevant in the evolving field of energy systems.

NOTABLE PUBLICATION

• Multi-layer Game Theory Based Operation Optimisation of ICES Considering Improved Independent Market Participant Models and Dedicated Distributed Algorithms
  • Authors: Yan, Y., Liu, M., Tian, C., Li, J., Li, K.
  • Year: 2024
  • Article: 123691
• Transfer Learning Based Hybrid Model for Power Demand Prediction of Large-scale Electric Vehicles
  • Authors: Tian, C., Liu, Y., Zhang, G., Yan, Y., Li, C.
  • Year: 2024
  • Article: 131461
• Improved YOLOv8-GD Deep Learning Model for Defect Detection in Electroluminescence Images of Solar Photovoltaic Modules
  • Authors: Cao, Y., Pang, D., Zhao, Q., Wang, F., Li, J.
  • Year: 2024
  • Journal: Engineering Applications of Artificial Intelligence
  • Article: 107866
• Joint Forecasting of Source-load-price for Integrated Energy System Based on Multi-task Learning and Hybrid Attention Mechanism
  • Authors: Li, K., Mu, Y., Yang, F., Yan, Y., Zhang, C.
  • Year: 2024
  • Journal: Applied Energy
  • Article: 122821
• Distributed Low-carbon Operational Optimization Model of an Integrated Energy System Based on Ladder Carbon Trading and Integrated Demand Response
  • Authors: Yan, Y., Liu, M., Li, S., Li, K., Wang, X.
  • Year: 2024
  • Journal: International Journal of Green Energy
  • Pages: 1324-1344