Competitive online convex optimization with switching costs and ramp constraints
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 …
with linear in-stage costs, switching costs and ramp constraints. While OCO problems have …
Combining regularization with look-ahead for competitive online convex optimization
There has been significant interest in leveraging limited look-ahead to achieve low
competitive ratios for online convex optimization (OCO). However, existing online algorithms …
competitive ratios for online convex optimization (OCO). However, existing online algorithms …
Enhancing Dynamic Security Assessment in Smart Grids Through Quantum Federated Learning
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 …
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
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 …
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
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 …
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
In this article, we develop online multistage decisions for procuring and dispatching
generators with diverse capabilities to provably ensure reliability of power grid operations …
generators with diverse capabilities to provably ensure reliability of power grid operations …
Robust multi-stage power grid operations with energy storage
The uncertainty and variability of renewable generation pose significant challenges to
reliable power-grid operations. This paper designs robust online strategies for jointly …
reliable power-grid operations. This paper designs robust online strategies for jointly …
Online control of cloud and edge resources using inaccurate predictions
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 …
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 …
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 …
Specifically, we apply online gradient descent (OGD) to a sequence of loss functions …