8 papers
Memory-Computation Tradeoffs in Semi Amortized Parametric Optimization
Shijie Pan, Agustin Castellano, Zeyu Shen +1
Learning-enabled decision systems often use offline data or computation to reduce online compute cost. Despite the empirical success of such approaches, there is limited general un…
Data-driven Acceleration of MPC with Guarantees
Agustin Castellano, Shijie Pan, Enrique Mallada
Model Predictive Control (MPC) is a powerful framework for optimal control but can be too slow for low-latency applications. We present a data-driven framework to accelerate MPC by…
When Market Prices Drive the Load: Modeling, Grid-Security Analysis, and Mitigation of Data Center Workload Scheduling
Shijie Pan, Zaint A. Alexakis, Charalambos Konstantinou
Data centers (DCs) are emerging as large, geographically distributed, controllable loads whose participation in electricity markets can significantly affect grid operation, especia…
A Cyber Insurance Policy for Hedging Against Load-Altering Attacks and Extreme Load Variations in Distribution Grids
Shijie Pan, Zaint A. Alexakis, S Subhash Lakshminarayana +1
Uncertainties in renewable energy resources (RES) and load variations can lead to elevated system operational costs. Moreover, the emergence of large-scale distributed threats, suc…
Online Non-convex Optimization with Long-term Non-convex Constraints
Shijie Pan, Jianyu Xu, Wenjie Huang
A novel Follow-the-Perturbed-Leader type algorithm is proposed and analyzed for solving general long-term constrained optimization problems in an online manner, where the target an…
Market-Driven Flexibility Provision: A Tri-Level Optimization Approach for Carbon Reduction
Shijie Pan, Gerrit Rolofs, Luca Pontecorvi +1
The integration of renewable energy resources (RES) in the power grid can reduce carbon intensity, but also presents certain challenges. The uncertainty and intermittent nature of…