XING ("Crossing") seeks to create and innovate cross-disciplinary solutions for next-generation smart grids, overlapping climate science, AI and machine learning, and socio-economics to address the most pressing needs. Modern power systems are confronted with degraded and even stranded operational performances subject to growing complexity, uncertainty, and volatility from large-scale integration of renewable and distributed energy resources (DERs). Toward next-generation intelligent grids, our mission is to bridge the gap between energy system research and state-of-the-art data science by utilizing diversified data from weather and renewable generation data, phasor measurement units (PMUs), and advanced metering infrastructure (AMI) systems, etc.


11/2023: Dr. Ying Zhang is appointed as Associate Editor of the journal IET Generation, Transmission & Distribution.

10/2023: Dr. Ying Zhang is appointed as Vice Chair of the Awards Subcommitte, IEEE Power and Energy Society Power System Operation, Planning and Economics Committee.

10/2023: Two papers, Deep Reinforcement Learning-Enabled Adaptive Forecasting-Aided State Estimation in Distribution Systems with Multi-Source Multi-Rate Data & Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control, are accepted by the 2024 IEEE  IEEE PES Innovative Smart Grid Technologies Conference .

07/2023: Invited Talk in the Outstanding Dissertation Award Panel of the 2023 IEEE PES General Meeting, "Distribution System Situational Awareness: From Model-Based to Data-Driven and Beyond", please download the slides here .

06/2023: Our paper, "Artificial Intelligence Applications in Electric Distribution Systems: Post-Pandemic Progress and Prospect", is accepted by Applied Sciences. Congrats Sungjoo!

05/2023: Dr. Zhang started one-month summer visit at Cornell University, a lot of brainstorming and discussion with Dr. Hsiao-Dong Chiang! Thanks for Dr. Chiang's hospitality.

03/2023: Invited Talk in Women in Data Science 2023 @ University of Calgary, Calgary, Canada. Happy International Women's Day!

01/2023: Sungjoo Chung (22' UIUC) joined the lab as a Ph.D. student. Welcome!

01/2023: Our paper, Off-policy deep reinforcement learning with automatic entropy adjustment for adaptive grid emergency control, is accepted by Electric Power Systems Research!

08/2022: Dr. Ying Zhang joined MSU as an Assistant Professor, in the Electrical and Computer Engineering Department, affiliated with MSU's Energy Research Institute.