7 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…
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…
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…
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…
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach
Aron Brenner, Rahman Khorramfar, Dharik Mallapragada +1
Solving large-scale capacity expansion problems (CEPs) is central to cost-effective decarbonization of regional-scale energy systems. To ensure the intended outcomes of CEPs, model…