activity
20232025
most citedUnlocking Energy Flexibility From Thermal Inertia of Buildings: A Robust Optimization Approach

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2025

Distributionally Robust System Level Synthesis With Output Feedback Affine Control Policy

Yun Li, Jicheng Shi, Colin N. Jones +2

This paper studies the finite-horizon robust optimal control of constrained linear systems subject to model mismatch and additive stochastic disturbances. Utilizing the system leve…

eess.SY2025

Model Predictive Building Climate Control for Mitigating Heat Pump Noise Pollution (Extended Version)

Yun Li, Jicheng Shi, Colin N. Jones +2

Noise pollution from heat pumps (HPs) has been an emerging concern to their broader adoption, especially in densely populated areas. This paper explores a model predictive control…

math.OC2025

On Data-Driven Robust Optimization With Multiple Uncertainty Subsets: Unified Uncertainty Set Representation and Mitigating Conservatism

Yun Li, Neil Yorke-Smith, Tamas Keviczky

Constructing uncertainty sets as unions of multiple subsets has emerged as an effective approach for creating compact and flexible uncertainty representations in data-driven robust…

math.OC2024★ 1 cited

Learning optimal objective values for MILP

Lara Scavuzzo, Karen Aardal, Neil Yorke-Smith

Modern Mixed Integer Linear Programming (MILP) solvers use the Branch-and-Bound algorithm together with a plethora of auxiliary components that speed up the search. In recent years…

math.OC2024

Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming

Lara Scavuzzo, Karen Aardal, Andrea Lodi +1

Mixed Integer Linear Programming (MILP) is a pillar of mathematical optimization that offers a powerful modeling language for a wide range of applications. During the past decades,…

eess.SY2023

Robust Optimal Control With Binary Adjustable Uncertainties

Yun Li, Neil Yorke-Smith, Tamas Keviczky

Robust Optimal Control (ROC) with adjustable uncertainties has proven to be effective in addressing critical challenges within modern energy networks, especially the reserve and pr…

eess.SY2023★ 2 cited

Unlocking Energy Flexibility From Thermal Inertia of Buildings: A Robust Optimization Approach

Yun Li, Neil Yorke-Smith, Tamas Keviczky

Towards integrating renewable electricity generation sources into the grid, an important facilitator is the energy flexibility provided by buildings' thermal inertia. Most of the e…