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Kürşad Derinkuyu

Assistant Associate Professor
Department of Industrial Engineering
TOBB University of Economics and Technology
Turkey

Professor Engineering
Biography

Dr, Kürşad Derinkuyu, received PhD. in Operations Research and Industrial Engineering from The University of Texas at Austin (USA) (2011). Dr. Derinkuyu have a working experience in Turkey Energy Foundation as Director, as Research Assistant in Hacettepe University. he ahad also been Advisor to the General Manager in Energy Market Operations Inc.

Research Intrest

Energy Markets and Policies, Renewable Energy Promotion Mechanisms, Portfolio Management and Optimization, Supply Chain and Logistics Management, Railway Network Design and Scheduling

List of Publications
Derinkuyu, K. (2011). Optimization models for transport and service scheduling (Doctoral dissertation).
Derinkuyu, K., & Pinar, M. C. (2005). An improved approximate S-lemma. Working paper, Bilkent University, Ankara, Turkey.
Derinkuyu, K., Balakrishnan, A., & Morales, J. (2010). Scheduling rail grinding operations. In INFORMS Annual Meeting.
Tanrisever, F., Derinkuyu, K., & Heeren, M. (2013). Forecasting electricity infeed for distribution system networks: An analysis of the Dutch case. Energy, 58, 247-257.
Tanrisever, F., Derinkuyu, K., & Jongen, G. (2015). Organization and functioning of liberalized electricity markets: An overview of the Dutch market. Renewable and Sustainable Energy Reviews, 51, 1363-1374.
DERINKUYU, K., TANRISEVER, F., BAYTUGAN, F., & SEZGIN, M. (2015). coMbinatorial auctionS in turkiSh day-ahead electricity MarketS. Industrial Engineering Applications in Emerging Countries, 51.
Derinkuyu, K. (2015). On the determination of European day ahead electricity prices: The Turkish case. European Journal of Operational Research, 244(3), 980-989.
Derinkuyu, K., Pınar, M. Ç., & Camcı, A. (2007). An improved probability bound for the approximate S-lemma. Operations Research Letters, 35(6), 743-746.
Derinkuyu, K., & Pınar, M. Ç. (2006). On the S-procedure and some variants. Mathematical Methods of Operations Research, 64(1), 55-77.

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