Xin Chen, Xiaoyang Wang, Ana Colacelli, Matt Lee, Le Xie, “Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects“, accepted to Nexus (Cell Press), 2026.
Ali Alenezi and Prasad Enjeti, "An Approach to Estimate Battery State-of-Charge Under Dynamic AI Training Workloads," 2026 IEEE Applied Power Electronics Conference and Exposition (APEC), San Antonio, TX, USA, 2026, pp. 1506-1512,
Peng-Hao Huang, Fang Chen Lin, Prasad Enjeti, "An Isolated Three-Phase Matrix Converter Rectifier For AI Server Infrastructure," 2025 IEEE International Communications Energy Conference (INTELEC), Houston, TX, USA, 2025, pp. 97-102.
Xin Chen, Andy Sun, Wenbo Shi, Na Li, “Carbon-Aware Optimal Power Flow”, IEEE Transactions on Power Systems, 2024, (Link).
S. Almubarak, H. Ibrahim, D. Singhania, and P. Enjeti, "Energy Consumption & Power Quality in Bitcoin Mining Facilities in Texas," ECCE 2023.
A. Menati, X. Zheng, K. Lee, R. Shi, P. Du, C. Singh, and L. Xie "High Resolution Modeling and Analysis of Cryptocurrency Mining's Impact on Power Grids: Carbon Footprint, Reliability, and Electricity Price," in Advances in Applied Energy, 2023, (Link).
K. Ray, "Bitcoin May Work Better As Money Than for NFTs." Forbes Digital Assets, 2023, (Link).
A. Menati, K. Lee, and L. Xie, “Modeling and Analysis of Utilizing Cryptocurrency Mining for Demand Flexibility in Electric Energy Systems: A Synthetic Texas Grid Case Study.” in IEEE Transactions on Energy Markets, Policy and Regulation (accepted, to appear) (Link)
R. Shi, A. Menati, and L. Xie, "Non-intrusive Monitoring of Edge-level Cryptocurrency Mining in Power Distribution Grids." IEEE PES Grid Edge Technologies Conference & Exposition (accepted, to appear) (Link)
Xin Chen, Guannan Qu, Yujie Tang, Steven Low, Na Li, “Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges”, IEEE Transactions on Smart Grid, 2022, (Link).
X. Zheng, D. Wu, L. Watts, E. N. Pistikopoulos and L. Xie, "Analyzing Extreme Events in Power Systems: An Open, Cross-Domain Data-Driven Approach," in IEEE Power and Energy Magazine, vol. 20, no. 6, pp. 47-55, Nov.-Dec. 2022, (Link)
L. Xie, T. Huang, X. Zheng, Y. Liu, M. Wang, V. Vittal, P.R. Kumar, S. Shakkottai, Y. Cui, "Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality," in Patterns, vol 3, Issue 12, 2022, (Link)
D. Wu, X. Zheng, A. Menati, L. Smith, B. Xia, Y. Xu, C. Singh, and L. Xie, "How much demand flexibility could have spared texas from the 2021 outage?," in Advances in Applied Energy, vol. 7, 2022, (Link)
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