most citedReducing transmission expansion by co-optimizing sizing of wind, solar, storage and grid connection capacity

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SY2026

Uncertainty-Aware Grid Planning in the Real World: A Method Enabling Large-Scale, Two-Stage Adaptive Robust Optimization for Capacity Expansion Planning

Gabriel Mantegna, Emil Dimanchev, Filippo Pecci +2

Capacity expansion models are frequently used to inform multi-billion dollar grid infrastructure decisions, a context in which there is significant uncertainty surrounding the futu…

eess.SY2024

Maintaining reliability while navigating unprecedented uncertainty: a synthesis of and guide to advances in electric sector resource adequacy

Gabriel Mantegna, Ziting Huang, Guillaume Van Caelenberg +3

The reliability of the electric grid has in recent years become a larger concern for regulators, planners, and consumers due to several high-impact outage events, as well as the po…

eess.SY2024★ 2 cited

Reducing transmission expansion by co-optimizing sizing of wind, solar, storage and grid connection capacity

Aneesha Manocha, Gabriel Mantegna, Neha Patankar +1

Expanding transmission capacity is likely a bottleneck that will restrict variable renewable energy (VRE) deployment required to achieve ambitious emission reduction goals. Interco…

eess.SY2024★ 1 cited

Establishing best practices for modeling long duration energy storage in deeply decarbonized energy systems

Gabriel Mantegna, Wilson Ricks, Aneesha Manocha +3

Long duration energy storage (LDES) may become a critical technology for the decarbonization of the power sector, as current commercially available Li-ion battery storage technolog…