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Selvaprabu Nadarajah
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2020 – today
- 2025
- [j17]Seyed Danial Mohseni Taheri, Selvaprabu Nadarajah, Alessio Trivella:
Physical vs Virtual corporate power purchase agreements: Meeting renewable targets amid demand and price uncertainty. Eur. J. Oper. Res. 320(1): 256-270 (2025) - 2023
- [j16]Selvaprabu Nadarajah, Nicola Secomandi:
A review of the operations literature on real options in energy. Eur. J. Oper. Res. 309(2): 469-487 (2023) - [j15]Alessio Trivella, Seyed Danial Mohseni Taheri, Selvaprabu Nadarajah:
Meeting Corporate Renewable Power Targets. Manag. Sci. 69(1): 491-512 (2023) - 2022
- [j14]Selvaprabu Nadarajah:
Corporate Renewable Procurement Analytics. Found. Trends Technol. Inf. Oper. Manag. 16(1-2): 250-266 (2022) - 2021
- [j13]Alessio Trivella, Selvaprabu Nadarajah, Stein-Erik Fleten, Denis Mazieres, David Pisinger:
Managing Shutdown Decisions in Merchant Commodity and Energy Production: A Social Commerce Perspective. Manuf. Serv. Oper. Manag. 23(2): 311-330 (2021) - [j12]Alessio Trivella, Selvaprabu Nadarajah:
Socially responsible merchant operations: Comparison of shutdown-averse CVaR and anticipated regret policies. Oper. Res. Lett. 49(4): 553-558 (2021) - [c3]Doseok Jang, Lucas Spangher, Tarang Srivastava, Manan Khattar, Utkarsha Agwan, Selvaprabu Nadarajah, Costas J. Spanos:
Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs. BuildSys 2021: 131-139 - [c2]Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos:
Offline-online reinforcement learning for generalizing demand response price-setting to energy systems. BuildSys 2021: 220-221 - [i4]Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos:
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs. CoRR abs/2108.06594 (2021) - 2020
- [j11]Selvaprabu Nadarajah, Nicola Secomandi:
Least Squares Monte Carlo and Approximate Linear Programming with an Energy Real Option Application. Found. Trends Technol. Inf. Oper. Manag. 14(1-2): 178-202 (2020) - [j10]Selvaprabu Nadarajah, André A. Ciré:
Network-Based Approximate Linear Programming for Discrete Optimization. Oper. Res. 68(6): 1767-1786 (2020) - [j9]Qihang Lin, Selvaprabu Nadarajah, Negar Soheili, Tianbao Yang:
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints. J. Mach. Learn. Res. 21: 143:1-143:45 (2020) - [j8]Qihang Lin, Selvaprabu Nadarajah, Negar Soheili:
Revisiting Approximate Linear Programming: Constraint-Violation Learning with Applications to Inventory Control and Energy Storage. Manag. Sci. 66(4): 1544-1562 (2020) - [j7]Aleksandr M. Kazachkov, Selvaprabu Nadarajah, Egon Balas, François Margot:
Partial hyperplane activation for generalized intersection cuts. Math. Program. Comput. 12(1): 69-107 (2020) - [i3]Parshan Pakiman, Selvaprabu Nadarajah, Negar Soheili, Qihang Lin:
Self-guided Approximate Linear Programs. CoRR abs/2001.02798 (2020) - [i2]Boxiao Chen, Selvaprabu Nadarajah, Parshan Pakiman, Stefanus Jasin:
Self-adapting Robustness in Demand Learning. CoRR abs/2011.10690 (2020)
2010 – 2019
- 2019
- [c1]Abhilash Reddy Chenreddy, Parshan Pakiman, Selvaprabu Nadarajah, Ranganathan Chandrasekaran, Rick Abens:
SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine. KDD 2019: 2934-2942 - [i1]Qihang Lin, Selvaprabu Nadarajah, Negar Soheili, Tianbao Yang:
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints. CoRR abs/1908.03077 (2019) - 2018
- [j6]Selvaprabu Nadarajah, Nicola Secomandi:
Merchant Energy Trading in a Network. Oper. Res. 66(5): 1304-1320 (2018) - [j5]Qihang Lin, Selvaprabu Nadarajah, Negar Soheili:
A Level-Set Method for Convex Optimization with a Feasible Solution Path. SIAM J. Optim. 28(4): 3290-3311 (2018) - 2017
- [j4]Selvaprabu Nadarajah, François Margot, Nicola Secomandi:
Comparison of least squares Monte Carlo methods with applications to energy real options. Eur. J. Oper. Res. 256(1): 196-204 (2017) - [j3]Selvaprabu Nadarajah, Nicola Secomandi:
Relationship between least squares Monte Carlo and approximate linear programming. Oper. Res. Lett. 45(5): 409-414 (2017) - 2015
- [j2]Selvaprabu Nadarajah, François Margot, Nicola Secomandi:
Relaxations of Approximate Linear Programs for the Real Option Management of Commodity Storage. Manag. Sci. 61(12): 3054-3076 (2015) - 2013
- [j1]Selvaprabu Nadarajah, James H. Bookbinder:
Less-Than-Truckload carrier collaboration problem: modeling framework and solution approach. J. Heuristics 19(6): 917-942 (2013)
Coauthor Index
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