Nur Sunar

University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School

Assistant Professor

McColl Building

Chapel Hill, NC 27599-3490

United States

  • University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School

SCHOLARLY PAPERS

7

DOWNLOADS

882

SSRN CITATIONS
Rank 39,033

SSRN RANKINGS

Top 39,033

in Total Papers Citations

10

CROSSREF CITATIONS

7

Scholarly Papers (7)

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1.

Strategic Commitment to a Production Schedule with Uncertain Supply and Demand: Renewable Energy in Day-Ahead Electricity Markets

Forthcoming, Management Science
Number of pages: 67 Posted: 20 Oct 2015 Last Revised: 22 Oct 2017
Nur Sunar and John R. Birge
University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School and University of Chicago - Booth School of Business
Downloads 261 (128,379)
Citation 6

Abstract:

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supply function equilibrium, renewable energy, supply uncertainty, day-ahead electricity market, reliability, demand uncertainty, production schedule, production quantity, penalty, subsidy

2.

Optimal Dynamic Product Development and Launch for a Network of Customers

Forthcoming in Operations Research
Number of pages: 82 Posted: 16 Nov 2016 Last Revised: 17 Oct 2018
Nur Sunar, John R. Birge and Sinit Vitavasiri
University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School, University of Chicago - Booth School of Business and Ericsson Inc.
Downloads 198 (167,624)
Citation 3

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optimal control, optimal stopping, dynamic product development, launch, product diffusion, graph

3.

Pooled versus Dedicated Queues When Customers Are Delay-Sensitive

Number of pages: 72 Posted: 26 Jul 2017 Last Revised: 27 Jan 2020
Nur Sunar, Yichen Tu and Serhan Ziya
University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School, University of North Carolina (UNC) at Chapel Hill and Department of Statistics and Operations Research
Downloads 170 (192,039)

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pooled queue, dedicated queues, customer balking, rational customers, delay-sensitive customers, observable queues

4.

Net-Metered Distributed Renewable Energy: A Peril for Utilities?

Kenan Institute of Private Enterprise Research Paper No. 18-24
Number of pages: 55 Posted: 10 Oct 2018 Last Revised: 18 Sep 2019
Nur Sunar and Jayashankar M. Swaminathan
University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School and University of North Carolina (UNC) at Chapel Hill - Operations Area
Downloads 126 (244,957)
Citation 1

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rooftop solar panel, distributed renewable energy, net metering, wholesale electricity market, utility, social welfare

5.

Investment Timing with Incomplete Information and Multiple Means of Learning

Operations Research, 2015, 63:2, 442-457
Number of pages: 46 Posted: 02 Feb 2015 Last Revised: 22 Oct 2017
J. Michael Harrison and Nur Sunar
Stanford Graduate School of Business and University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School
Downloads 70 (358,206)
Citation 2

Abstract:

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optimal control, optimal stopping, subset selection, Bayesian sequential hypothesis testing, costly learning

6.

Competitive Investment with Bayesian Learning: Choice of Business Size and Timing

Number of pages: 61 Posted: 26 Jun 2019
Nur Sunar, Siyun Yu and Vidyadhar G. Kulkarni
University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School, Cox Automotive, Inc. and University of North Carolina (UNC) at Chapel Hill
Downloads 44 (444,706)

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optimal stopping, Bayesian learning, competition, investment size, investment timing

7.

Do Noisy Customer Reviews Discourage Platform Sellers? Empirical Analysis of an Online Solar Marketplace

Number of pages: 41 Posted: 04 Aug 2020
Herbie Huang, Nur Sunar and Jayashankar M. Swaminathan
University of North Carolina (UNC) at Chapel Hill - Operations Area, University of North Carolina (UNC) at Chapel Hill - Kenan-Flagler Business School and University of North Carolina (UNC) at Chapel Hill - Operations Area
Downloads 13 (613,062)

Abstract:

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online marketplace, clustering, customer reviews, solar PV installation, natural language processing, deep learning