activity
20172023
most citedEpidemiological data challenges: planning for a more robust future through data standards

67 citations · 116 across the 10 of their papers we have counts for

collaborators

11 papers

math.OC2023★ 1 cited

Joint Expansion Planning of Power and Water Distribution Networks

Sai Krishna Kanth Hari, Ahmed Zamzam, Byron Tasseff +2

This research explores the joint expansion planning of power and water distribution networks, which exhibit interdependence at various levels. We specifically focus on the dependen…

math.OC2022★ 23 cited

On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization

Byron Tasseff, Tameem Albash, Zachary Morrell +4

Over the past decade, the usefulness of quantum annealing hardware for combinatorial optimization has been the subject of much debate. Thus far, experimental benchmarking studies h…

math.OC2022

Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks

Byron Tasseff, Russell Bent, Carleton Coffrin +6

The classic pump scheduling or Optimal Water Flow (OWF) problem for water distribution networks (WDNs) minimizes the cost of power consumption for a given WDN over a fixed time hor…

math.OC2021

Convex Relaxations of Maximal Load Delivery for Multi-contingency Analysis of Joint Electric Power and Natural Gas Transmission Networks

Byron Tasseff, Carleton Coffrin, Russell Bent

Recent increases in gas-fired power generation have engendered increased interdependencies between natural gas and power transmission systems. These interdependencies have amplifie…

math.OC2020

Optimal Economic Operation of Liquid Petroleum Products Pipeline Systems

Elena Khlebnikova, Kaarthik Sundar, Anatoly Zlotnik +3

The majority of overland transport needs for crude petroleum and refined petroleum products are met using pipelines. Numerous studies have developed optimization methods for design…

math.OC2020

Exact Mixed-integer Convex Programming Formulation for Optimal Water Network Design

Byron Tasseff, Russell Bent, Marina A. Epelman +2

In this paper, we consider the canonical water network design problem, which contains nonconvex potential loss functions and discrete resistance choices with varying costs. Traditi…

math.OC2020

Natural Gas Maximal Load Delivery for Multi-contingency Analysis

Byron Tasseff, Carleton Coffrin, Russell Bent +2

As the use of renewable generation has increased, electric power systems have become increasingly reliant on natural gas-fired power plants as fast ramping sources for meeting fluc…

math.OC2019★ 6 cited

Exploring Benefits of Linear Solver Parallelism on Modern Nonlinear Optimization Applications

Byron Tasseff, Carleton Coffrin, Andreas Wächter +1

The advent of efficient interior point optimization methods has enabled the tractable solution of large-scale linear and nonlinear programming (NLP) problems. A prominent example o…

cs.CY2018★ 67 cited

Epidemiological data challenges: planning for a more robust future through data standards

Geoffrey Fairchild, Byron Tasseff, Hari Khalsa +5

Accessible epidemiological data are of great value for emergency preparedness and response, understanding disease progression through a population, and building statistical and mec…

math.OC2018★ 19 cited

Optimization of Structural Flood Mitigation Strategies

Byron Tasseff, Russell Bent, Pascal Van Hentenryck

The dynamics of flooding are primarily influenced by the shape, height, and roughness (friction) of the underlying topography. For this reason, mechanisms to mitigate floods freque…

math.OC2017

Relaxations of AC Maximal Load Delivery for Severe Contingency Analysis

Carleton Coffrin, Russell Bent, Byron Tasseff +2

This work considers the task of finding an AC-feasible operating point of a severely damaged transmission network while ensuring that a maximal amount of active power loads can be…