6 papers
Strategic Spatial Load Shifting and Market Efficiency
Aron Brenner, Deepjyoti Deka, Line Roald +1
Large, spatially flexible electricity consumers such as data centers can reallocate demand across locations, influencing dispatch and prices in wholesale electricity markets. While…
Optimization Under Uncertainty for Energy Infrastructure Planning: A Synthesis of Methods, Tools, and Open Challenges
Rahman Khorramfar, Aron Brenner, Lara Booth +4
Energy infrastructure planning under uncertainty has become increasingly complex as electrification, interdependence between energy carriers, decarbonization, and extreme weather e…
Strategic Data Center Load Shifting: Implications for Market Efficiency and Transmission Value
Aron Brenner, Line Roald, Saurabh Amin
Data center electricity use may reach 12% of U.S. demand by 2030, alongside growing ability to shift workloads geographically in response to prices or carbon signals. We examine th…
Power-Gas Infrastructure Planning under Weather-induced Supply and Demand Uncertainties
Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin
Implementing economy-wide decarbonization strategies based on decarbonizing the power grid via variable renewable energy (VRE) expansion and electrification of end-uses requires ne…
When Do Consumers Lose from Variable Electricity Pricing?
Nathan Engelman Lado, Richard Chen, Saurabh Amin
Time-varying electricity pricing better reflects the varying cost of electricity compared to flat-rate pricing. Variations between peak and off-peak costs are increasing due to wea…
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
Aron Brenner, Rahman Khorramfar, Jennifer Sun +1
Two-stage adaptive robust optimization (ARO) is a powerful approach for planning under uncertainty, balancing first-stage decisions with recourse decisions made after uncertainty i…