Publications

Preprint: 

• [P4] Jie Feng, Xiaoyang Wang, Xin Chen, Yuanyuan Shi, "Recursive Self-Improvement LLM Agents for Inverter Dynamic Model Identification",  arXiv:2609.14260, 2026. 

• [P3] Xin Chen, "Grid-Mode-Aware Model Predictive Control of Hybrid Energy Storage Systems for AI Data Center Power Smoothing", arXiv:2609.04398, 2026.

• [P2] Xiaoyang Wang, Xin Chen, "A Unified Framework for Hybrid Grid-Forming and Grid-Following Inverter Control", arXiv:2607.01616, 2026.

• [P1] Haowen Xu, Xin Chen, "Model-Free Coordinated Optimization of IBR Controllers for Enhanced Grid-Level Transient Dynamic Performance", arXiv:2603.29995, 2026.

Journal:

• [J9] Xin Chen, Xiaoyang Wang, Ana Colacelli, Matt Lee, Le Xie, “Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects“, Nexus (Cell Press), Vol.3, no.3, pp.100162,2026.

• [J8] Xin Chen, Andy Sun, Wenbo Shi, Na Li, “Carbon-Aware Optimal Power Flow”, IEEE Transactions on Power Systems, vol. 40, no. 4, pp. 3090-3104, July 2025.

• [J7] 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," Advances in Applied Energy, vol.10, pp. 100640,2023.

• [J6] 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, vol. 13, no. 4, pp. 2935-2958, July 2022. (IEEE Transactions on Smart Grid Top-5 Outstanding Paper in 2020 – 2022)

• [J5] K. Ray, "Bitcoin May Work Better As Money Than for NFTs." Forbes Digital Assets, 2023.

• [J4]  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.” IEEE Transactions on Energy Markets, Policy and Regulation,  vol. 1, no. 1, pp. 1-10, March 2023.

• [J3] 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," IEEE Power and Energy Magazine, vol. 20, no. 6, pp. 47-55, Nov.-Dec. 2022.

• [J2] 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,"  Patterns, vol. 3, Issue 12, 2022.

• [J1] 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?" Advances in Applied Energy, vol. 7, 2022.

Conference:

• [C4] 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,

• [C4] 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.

• [C3] Xiaoyang Wang, Xin Chen, “Distributed Coordination of Grid-Forming and Grid-Following IBRs for Optimal Frequency Control in Power Systems“, IEEE PES General Meeting, Austin, TX, USA, 2025. 

• [C2] S. Almubarak, H. Ibrahim, D. Singhania, and P. Enjeti, "Energy Consumption & Power Quality in Bitcoin Mining Facilities in Texas,"  IEEE Energy Conversion Congress and Exposition (ECCE), Nashville, TN, USA, 2023.

•  [C1] 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, San Diego, CA, USA, 2023.

Technical Report:

• [R2] Xiaoyang Wang, Xin Chen, Prasad Enjeti, Fangchen Lin, Ali Yazdanpanah, Jonathan Rose, Yunzhi Cheng, Amro Quedan, Prashant Kansal, “Dynamic Modeling of AI Data Center Load in PSCAD”, TAMU-ERCOT, April 2026. [Online] Available: Open-source Models.

• [R1] Xiaoyang Wang, Xin Chen, Prasad Enjeti, Fangchen Lin, Ali Yazdanpanah, Jonathan Rose, Yunzhi Cheng, Prashant Kansal, “Dynamic Modeling of Crypto-Miner Load in PSCAD”, TAMU-ERCOT, October 2025. [Online] Available: Open-source Models.