Competitive online convex optimization with switching costs and ramp constraints

M Shi, X Lin, S Fahmy - IEEE/ACM Transactions on Networking, 2021 - ieeexplore.ieee.org
We investigate competitive online algorithms for online convex optimization (OCO) problems
with linear in-stage costs, switching costs and ramp constraints. While OCO problems have …

Combining regularization with look-ahead for competitive online convex optimization

M Shi, X Lin, L Jiao - IEEE/ACM Transactions on Networking, 2024 - ieeexplore.ieee.org
There has been significant interest in leveraging limited look-ahead to achieve low
competitive ratios for online convex optimization (OCO). However, existing online algorithms …

Enhancing Dynamic Security Assessment in Smart Grids Through Quantum Federated Learning

C Ren, ZY Dong, M Skoglund, Y Gao… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Dynamic Security Assessment (DSA) is critical for maintaining stability in large-scale smart
grids, especially with the growing integration of renewable energy sources and the inherent …

Retracted on December 2, 2020: On the Value of Look-Ahead in Competitive Online Convex Optimization

M Shi, X Lin, L Jiao - 2019 - dl.acm.org
NOTICE OF RETRACTION:" On the Value of Look-Ahead in Competitive Online Convex
Optimization," by Shi et al., Proceedings of the ACM on Measurement and Analysis of …

An online algorithm for power-proportional data centers with switching cost

M Zhang, Z Zheng, NB Shroff - 2018 IEEE Conference on …, 2018 - ieeexplore.ieee.org
Recent studies have shown that power-proportional data centers can save energy cost by
dynamically “right-sizing” the data centers based on real-time workload. More servers are …

Leveraging generators with complementary capabilities for robust multistage power grid operations

S Zhao, Y Zou, X Lin, D Aliprantis… - … on Control of …, 2020 - ieeexplore.ieee.org
In this article, we develop online multistage decisions for procuring and dispatching
generators with diverse capabilities to provably ensure reliability of power grid operations …

Robust multi-stage power grid operations with energy storage

Y Zou, X Lin, D Aliprantis… - IEEE INFOCOM 2018-IEEE …, 2018 - ieeexplore.ieee.org
The uncertainty and variability of renewable generation pose significant challenges to
reliable power-grid operations. This paper designs robust online strategies for jointly …

Online control of cloud and edge resources using inaccurate predictions

L Jiao, A Tulino, J Llorca, Y Jin… - 2018 IEEE/ACM 26th …, 2018 - ieeexplore.ieee.org
We study cloud resource control in the global-local distributed cloud infrastructure. We firstly
model and formulate the problem while capturing the multiple challenges such as the inter …

On the Value of Prediction and Feedback for Online Decision Making With Switching Costs

M Shi - 2022 - hammer.purdue.edu
Online decision making with switching costs has received considerable attention in many
practical problems that face uncertainty in the inputs and key problem parameters. Because …

Time-Varying Non-Convex Optimization via Online Gradient Descent: Theory and Applications

YM Pun - 2022 - search.proquest.com
We consider a time-varying optimization approach to the target tracking problem.
Specifically, we apply online gradient descent (OGD) to a sequence of loss functions …