Leaderboard - Challenge 2 - Final Event


The following teams participated in the Final Event.

Team Name Lead Affiliation Team Lead Members          
ARPA-e Benchmark Los Alamos National Laboratory (LANL) Carleton Coffrin            
CasePower Case Western Reserve University Vira Chankong Hanieh Agharazi Kenneth A Loparo Kamlesh Mathur Pitjaya Tangtatswas Fan Zhang  
Electric Stampede University of Colorado Boulder Kyri Baker Constance Crozier Javad Mohammadi        
GERS USA GERS USA Juan Manuel Gers Camilo Acosta David Alvarez Garzon Caceres Sergio Rivera Diego Rodriguez Andrés Zapata
GMI-GO Georgia Institute of Technology Andy Sun Santanu Dey Amin Gholami Kaizhao Sun Shixuan Zhang    
GO-SNIP Lehigh University Frank Curtis Daniel Molzahn Andreas Waechter Ermin Wei Elizabeth Wong    
Gordian Knot Virginia Tech Vassilis Kekatos Mohammadhafez Bazrafshan Sarthak Gupta        
GOT-BSI-OPF Global Optimal Technology, Inc. Gilburt Chiang Hsiao-Dong Chiang Bin Wang Simon Wyatt Dr. Lin Zeng    
GravityX individual Hassan Hijazi            
M&H Grid Solutions M&H Grid Solutions Yong Fu Lin Gong Jinjie Zheng        
magos Lawrence Livermore National Laboratory (LLNL) Ignacio Aravena-Solis Nai-Yuan Chiang Quentin Lété Shmuel Oren      
Monday Mornings Lawrence Berkeley National Laboratory (LBNL) Miguel Heleno Alexandre Moreira da Silva Alan Valenzuela Meza        
NU_Columbia_Artelys Artelys Richard Waltz Daniel Bienstock Jorge Nocedal        
Pearl Street Technologies Pearl Street Technologies Marko Jereminov David Bromberg Larry Pileggi Athanasios Terzakis Hui Zheng    
Penn_State_UP Pennsylvania State University Vinayak Shanbhag Weinan Chen Shisheng Cui Luke Marrinan Justin Petucci Peixuan Zhang
SUGAR-CMU Carnegie Mellon University Aayushya Agarwal Timothy McNamara Amritanshu Pandey        


Scoring according to the Scoring document, summarized as

For each scenario s, a prior point solution is constructed by keeping all variables fixed to their values in the prior operating point in the base case and the contingencies, projecting first the base case and then the contingencies to ensure feasibility of all hard constraints (details in the formulation document). Let MSpps denote the market surplus of the prior point solution for scenario s. This value is computed independently from the solutions provided by competitors.

For any entrant, the solution to scenario s is evaluated and a market surplus MStotals is assigned. If no solution is returned, or the solution is incorrectly formatted, or the solution is determined to be infeasible, or the evaluated market surplus is less than MSpps, then the assigned market surplus is MSpps.

The score MSgains, representing the gain in market surplus relative to the prior point, is computed as

MSgains = MStotals - MSpps

The score over a given set S of scenarios is

MSgain = ∑iS MSgains

Competitors were given a chance to review results before they were posted. See the Results Certification Period information.