10 citations · 10 across the 11 of their papers we have counts for
11 papers
Data-Driven MPC with Adaptively Sampled Non-Expert Demonstrations: Performance Guarantees and Sample Complexity
Shijie Pan, Agustin Castellano, Enrique Mallada
We study data-driven policy construction for dynamical systems using trajectories generated by surrogate finite-horizon Model Predictive Control (MPC), with the goal of approximati…
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…
The Cheap Hours Don't Stay Cheap: Price-Chasing Data Centers Reshape Grids and Markets
Shijie Pan, Zaint A. Alexakis, Charalambos Konstantinou
Data centers unsettle the paradigm of location-bound electricity demand: computing workloads can migrate across sites and hours, whereas facilities and grid connections remain fixe…
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…
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…
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…
Using Drone Swarm to Stop Wildfire: A Predict-then-optimize Approach
Shijie Pan, Aoran Cheng, Yiqi Sun +4
Drone swarms coupled with data intelligence can be the future of wildfire fighting. However, drone swarm firefighting faces enormous challenges, such as the highly complex environm…
Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection and Mitigation
Sajjad Maleki, Shijie Pan, Subhash Lakshminarayana +1
The growing penetration of IoT devices in power grids despite its benefits, raises cybersecurity concerns. In particular, load-altering attacks (LAAs) targeting high-wattage IoT-co…
MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
Xusheng Xu, Jiangyu Cui, Zidong Cui +36
We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) alg…
The Impact of Load Altering Attacks on Distribution Systems with ZIP Loads
Sajjad Maleki, Shijie Pan, E. Veronica Belmega +2
Load-altering attacks (LAAs) pose a significant threat to power systems with Internet of Things (IoT)-controllable load devices. This research examines the detrimental impact of LA…
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…