Selvaprabu Nadarajah

Orcid: 0000-0001-6218-5862

According to our database1, Selvaprabu Nadarajah authored at least 21 papers between 2013 and 2023.

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Bibliography

2023
A review of the operations literature on real options in energy.
Eur. J. Oper. Res., September, 2023

Meeting Corporate Renewable Power Targets.
Manag. Sci., January, 2023

2021
Socially responsible merchant operations: Comparison of shutdown-averse CVaR and anticipated regret policies.
Oper. Res. Lett., 2021

Managing Shutdown Decisions in Merchant Commodity and Energy Production: A Social Commerce Perspective.
Manuf. Serv. Oper. Manag., 2021

Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs.
CoRR, 2021

Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Offline-online reinforcement learning for generalizing demand response price-setting to energy systems.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

2020
Partial hyperplane activation for generalized intersection cuts.
Math. Program. Comput., 2020

Revisiting Approximate Linear Programming: Constraint-Violation Learning with Applications to Inventory Control and Energy Storage.
Manag. Sci., 2020

A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints.
J. Mach. Learn. Res., 2020

Network-Based Approximate Linear Programming for Discrete Optimization.
Oper. Res., 2020

Least Squares Monte Carlo and Approximate Linear Programming with an Energy Real Option Application.
Found. Trends Technol. Inf. Oper. Manag., 2020

Self-adapting Robustness in Demand Learning.
CoRR, 2020

Self-guided Approximate Linear Programs.
CoRR, 2020

2019
SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
A Level-Set Method for Convex Optimization with a Feasible Solution Path.
SIAM J. Optim., 2018

Merchant Energy Trading in a Network.
Oper. Res., 2018

2017
Relationship between least squares Monte Carlo and approximate linear programming.
Oper. Res. Lett., 2017

Comparison of least squares Monte Carlo methods with applications to energy real options.
Eur. J. Oper. Res., 2017

2015
Relaxations of Approximate Linear Programs for the Real Option Management of Commodity Storage.
Manag. Sci., 2015

2013
Less-Than-Truckload carrier collaboration problem: modeling framework and solution approach.
J. Heuristics, 2013


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