Dr. Thi Huynh Anh Le | Smart Grid | Editorial Board Member

The university of Danang, University of Science and Technology | Vietnam

Dr. Le Thi Huynh Anh is a rising researcher in renewable energy systems whose work has gained notable scholarly impact, reflected in 104 citations, an h-index of 5, and an i10-index of 4. Her research centers on sustainable microgrid design, peer-to-peer (P2P) energy trading, uncertainty modeling, and computational intelligence for optimizing modern power systems. She has published influential studies in leading journals such as Renewable and Sustainable Energy Reviews, Renewable Energy, Expert Systems with Applications, and Applied Sciences. Dr. Anh’s contributions emphasize advanced multi-microgrid planning frameworks that integrate seasonal demand patterns, government subsidies, stochastic uncertainties, and digital technologies to enhance economic, operational, and environmental performance. Her collaborative works on blockchain-enabled P2P energy trading propose innovative pathways for decentralized and consumer-centric energy markets. Alongside system optimization, she has developed intelligent methodologies for improving data quality and decision-making in energy systems, including dynamic-programming-based time-series anomaly detection using the longest common subsequence approach, as well as advanced clustering techniques that blend fuzzy logic, possibilistic modeling, and genetic algorithms for handling mixed data types. Her research also extends to maintenance optimization for offshore wind systems, demonstrating a broader commitment to the renewable energy ecosystem. Across her body of work, Dr. Anh integrates sustainability principles, AI-driven modeling, and robust optimization techniques to support the development of next-generation, resilient, and intelligent energy infrastructures. Her recent studies continue advancing sustainable multi-microgrid systems by addressing the challenges of uncertainty, seasonality, and evolving energy trading mechanisms.

Profile: Google Scholar

Featured Publications

• Vincent, F. Y., Le, T. H. A., & Gupta, J. N. D. (2022). Sustainable microgrid design with multiple demand areas and peer-to-peer energy trading involving seasonal factors and uncertainties. Renewable and Sustainable Energy Reviews, 161, 112342.

• Nguyen, T. P. Q., Phuc, P. N. K., Yang, C. L., Sutrisno, H., Luong, B. H., Le, T. H. A., … (2023). Time-series anomaly detection using dynamic programming based longest common subsequence on sensor data. Expert Systems with Applications, 213, 118902.

• Yu, V. F., Chiang, F. Y., Le, T. H. A., & Lin, S. W. (2022). Using the ISM method to analyze the relationships between various contractor prequalification criteria. Applied Sciences, 12(8), 3726.

• Vincent, F. Y., Le, T. H. A., & Gupta, J. N. D. (2023). Sustainable microgrid design with peer-to-peer energy trading involving government subsidies and uncertainties. Renewable Energy, 206, 658–675.

• Nguyen, T. P. Q., Kuo, R. J., Le, M. D., Nguyen, T. C., & Le, T. H. A. (2022). Local search genetic algorithm-based possibilistic weighted fuzzy c-means for clustering mixed numerical and categorical data. Neural Computing and Applications, 34(20), 18059–18074.