Yuting Ji

        Electrical and Computer Engineering
        Cornell University
        365 Frank H. T. Rhodes Hall  
        Ithaca, NY 14853
        yj246@cornell.edu 



I am a PhD student in the School of Electrical and Computer Engineering at Cornell University, advised by Lang Tong. I received the bachelor degree in computer science from Tsinghua University, Beijing, China, in 2011. 

My research lies in optimization, data analytics, and statistical learning, with application to smart grid and power systems. The goals of my work are (1) to develop mathematical models describing real-world systems and (2) to design computationally efficient solution approaches. My PhD thesis focuses on problems of optimization under uncertainty in the electric grid with considerable renewable energy integration.


Research

Probabilistic Forecasting of Real-Time Locational Marginal Price and Network Congestion

Electricity price forecast is a fundamental input to market participants’ decision-making mechanisms and an efficient tool for operators to manage network congestion and incent demand response. Based on a multiparametric formulation, a probabilistic price forecasting methodology is proposed from the operator viewpoint. Along with the online learning technique, the proposed forecasting technique presents informative, flexible, efficient and scalable features. 

Multi-Area Interchange Scheduling under Uncertainty

Balancing authorities operate power grids defined by certain geographical boundaries. While power is routinely transferred across these boundaries, "seams" may arise between neighboring areas due to inefficient interchange schedule. An optimal interchange scheduling technique is proposed for the multi-area multi-interface system in the presence of system and operation uncertainty.


Working Papers

Yuting Ji and Lang Tong, "Renewable Energy Curtailment via Do-Not-Exceed Limit", working paper.

Weisi Deng, Yuting Ji, and Lang Tong (alphabetically ordered), "Online Probabilistic Forecasting of LMP via Non-Homogeneous Markov Chain", to be submitted to IEEE Transactions on Smart Grid.


Journal Publications

Yuting Ji and Lang Tong, "Stochastic Multi-Area Interchange Scheduling", submitted to IEEE Transactions on Power Systems. [arXiv]

Yuting Ji, Tongxin Zheng, and Lang Tong, "Stochastic Interchange Scheduling in the Real-Time Electricity Market", to appear in IEEE Transactions on Power Systems, 2016.

Yuting Ji, Robert J. Thomas, and Lang Tong, "Probabilistic Forecast of Real-Time LMP and Network Congestion", to appear in IEEE Transactions on Power Systems, 2016.


Conference Proceedings

Ye Guo, Yuting Ji, and Lang Tong, "Incorporating Interface Bids in Multi-Area Economic Dispatch", submitted to IEEE Power & Energy Society General Meeting.

Weisi Deng, Yuting Ji, and Lang Tong (alphabetically ordered), "Probabilistic Forecasting and Simulation of Electricity Markets via Online Dictionary Learning", accepted to the 50th Hawaii International Conference on System Sciences (HICSS), 2017. [arXiv]

Yuting Ji and Lang Tong, "Multi-Proxy Interchange Scheduling under Uncertainty", IEEE Power & Energy Society General Meeting, 2016. (Best Conference Paper finalist)

Yuting Ji and Lang Tong, "Stochastic Coordinated Transaction Scheduling via Probabilistic Forecast", IEEE Power & Energy Society General Meeting, 2015.

Yuting Ji, Robert J. Thomas, and Lang Tong, "Probabilistic Forecast of Real-Time LMP via Multiparametric Programming", the 48th Hawaii International Conference on System Sciences (HICSS), 2015.

Yuting Ji, Jinsub Kim, Robert J. Thomas, and Lang Tong, "Forecasting real-time locational marginal price: A state space approach", Asilomar Conference on Signals, Systems and Computers, 2013.

Yuting Ji, Lang Tong, Ting He, Jian Tan, Kang-won Lee, and Li Zhang, "Improving Multi-job MapReduce Scheduling in an Opportunistic Environment", the 6th International Conference on Cloud Computing, 2013.

Shiyao Chen, Yuting Ji, and Lang Tong, "Large Scale Charging of Electric Vehicles"IEEE Power & Energy Society General Meeting, 2012.

Shiyao Chen, Yuting Ji, and Lang Tong, "Deadline Scheduling for Large Scale Charging of Electric Vehicles with Renewable Energy", the 7th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012.