Devon Sigler was a Researcher-III in Applied Mathematics at NREL. His area of expertise is optimization. Devon has done work in mixed integer optimization, convex optimization, and stochastic optimization. He is currently interested in solving complex energy system problems using decomposition techniques that leverage problem structure to break problems apart so they may be solved in parallel on HPC systems. He is also interested in applying advanced probability theory optimization modeling and algorithms.
Mixed Integer Programming
Stochastic Optimization for Energy Systems Planning
Multi-Objective Optimization Under Uncertainty
Ph.D., Mathematics, University of Colorado Denver
M.S., Applied Mathematics, University of Colorado Denver
B.A., Mathematics, University of Colorado Boulder
B.A., Philosophy, University of Colorado Boulder
Postdoctoral Researcher, NREL (2016–2018)
Graduate Teaching Assistant, University of Colorado Denver (2013–2017)
Pareto Solutions in Multicriteria Optimization Under Uncertainty, European Journal of Operational Research (2020)
Impacts of Storage Dispatch on Revenue in Electricity Markets, Journal of Energy Storage (2020)
Uncertainty Quantification for Capacity Expansion Planning, NREL Technical Report (2020)
Scalable Transmission Expansion Under Uncertainty Using Three-stage Stochastic Optimization, IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (2020)
View all NREL publications for Devon Sigler.