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20242026
most citedRegularized Benders Decomposition for High Performance Capacity Expansion Models

17 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

math.OC2026

Analyzing Performance and Scalability of Benders Decomposition for Generation and Transmission Expansion Planning Models

David L. Cole, Michael Lau, Xinliang Dai +2

Generation and Transmission Expansion Planning (GTEP) problems co-optimize generation and transmission expansion, enabling them to provide better planning decisions than traditiona…

math.OC2025

A Parallelized Cutting-Plane Algorithm for Computationally Efficient Modelling to Generate Alternatives

Michael Lau, Filippo Pecci, Jesse D. Jenkins

Contemporary macro energy systems modelling is characterized by the need to represent strategic and operational decisions with high temporal and spatial resolution and represent di…

physics.soc-ph2025

MacroEnergy.jl: A large-scale multi-sector energy system framework

Ruaridh Macdonald, Filippo Pecci, Luca Bonaldo +4

MacroEnergy.jl (aka Macro) is an open-source framework for multi-sector capacity expansion modeling and analysis of macro-energy systems. It is written in Julia and uses the JuMP p…

math.OC2025

Graph-Based Modeling and Decomposition of Hierarchical Optimization Problems

David L. Cole, Filippo Pecci, Omar J. Guerra +3

We present a graph-theoretic modeling approach for hierarchical optimization that leverages the OptiGraph abstraction implemented in the Julia package Plasmo.jl. We show that the a…

eess.SY2024★ 1 cited

Emerging clean technologies: policy-driven cost reductions, implications and perspectives

Mohamed Atouife, Jesse Jenkins

Hydrogen production from water electrolysis, direct air capture (DAC), and synthetic kerosene derived from hydrogen and CO2 (`e-kerosene') are expected to play an important role in…

eess.SP2024

Quantifying the Impact of Energy System Model Resolution on Siting, Cost, Reliability, and Emissions

Anna F. Jacobson, Denise L. Mauzerall, Jesse D. Jenkins

Energy systems models, critical for power sector decision support, incur non-linear memory and runtime penalties when scaling up under typical formulations. Even hardware improveme…

math.OC2024★ 17 cited

Regularized Benders Decomposition for High Performance Capacity Expansion Models

Filippo Pecci, Jesse D. Jenkins

We consider electricity capacity expansion models, which optimize investment and retirement decisions by minimizing both investment and operation costs. In order to provide credibl…