Publications

Book Chapters, Refereed Journal and Conference Publications

  1. Saavedra, I., Nanduri, V., D’Souza, R., and Otieno, W. “A Multi-Objective Optimization and Machine Learning Framework for Joint CO2 and H2O Tax Rates in Electricity Markets,” In review with Annals of Operations Research (special volume: Energy and Climate Policy Modeling), 2015
  2. Rocha, P., Das, T. K., Nanduri, V., and Botterud, A., “Impact of CO2 Cap-and-Trade Programs on Restructured Power Markets with Generation Capacity Investments,” Journal of Electrical Power and Energy Systems, Volume 71, pp 195-208, 2015. [DOI Link]
  3. Nanduri, V. and Saavedra, I. “A Competitive Markov Decision Process Model for the new Energy-Water-Climate Change Nexus,” Applied Energy Journal, Volume 111, pp 186–198, 2013. [DOI Link]
  4. Nanduri, V. and Kazemzadeh, N., A Survey of Carbon Market Mechanisms and Models, Handbook of CO2 in Power Systems, Springer Publishers, 2012 (http://link.springer.com/book/10.1007/978-3-642-27431-2/page/1) [ISBN: 978-3-642-27431-2]
  5. Nanduri, V. and Otieno, W. An Application of Analytics in Green Electricity Markets with Cap-and-Trade Programs,” ASEM Engineering Management Journal, 2013 (To Appear).
  6. Nanduri, V. and Kazemzadeh, N., Economic Impact Assessment and Operational Decision Making in Carbon and Transmission Constrained Electricity Markets, Applied Energy, Volume 96, August 2012, Pages 212–221 [DOI link]
  7.  Nanduri, V. and Otieno, W., A New Water and Carbon Conscious Electricity Market Model for the Electricity-Water-Climate Change Nexus, Electricity Journal, Volume 24, Issue 9Pages 64-74, 2011. [DOI link]
  8.  Nanduri, V., Application of Reinforcement Learning-based Algorithms in CO2 Allowance and Electricity Markets, IEEE Conference Proceedings on Adaptive Dynamic Programming and Reinforcement Learning, Paris, France, 2011. [DOI Link]
  9.  Nanduri, V., Das,T. K., and Rocha,P., Generation Capacity Expansion in Energy Markets Using a Two-Level Game-Theoretic Model, IEEE Transactions on Power Systems,Vol. 24, No.3, pp 1165-1172, 2009 [DOI Link]
  10.  Nanduri, V. and Das, T. K., A Reinforcement Learning Approach for obtaining the Nash Equilibrium of Multi-player Matrix Games,” IIE Transactions, Volume 41, 158-167, 2009. [DOI link]
  11.  Nanduri, V. and Das, T. K., A Survey of Critical Research Areas in the Energy Segment of Restructured Electricity Markets,” Electrical Power & Energy Systems, Volume 31, No. 5, pp 181-191, 2009. (listed as #2 on ScienceDirect in Most Downloaded Articles for April- June 2009) [DOI Link]
  12.  Nanduri, V. and Das,T.K., A Reinforcement Learning Model to Assess Market Power under Auction-Based Energy Pricing,” IEEE Transactions on Power Systems,Volume 22, no. 1, pp 85-95, 2007 [DOI Link]
  13.  Nanduri, V. and Das, T. K., “A game theoretic approach for generation capacity expansion in restructured power markets,” IEEE Power & Energy Society Proceedings, Pittsburgh, PA, 2008. [DOI link]
  14.  Nanduri, V. and Otieno, W., Assessing the Impact of Different Auction-based CO2 Allowance Allocation Mechanisms, IEEE Power & Energy Society Conference Proceedings, Detroit, MI, 2011. [DOI link]
  15.  Okogbaa, G., Das, T. K., Martin-Vega, L., Centeno, G., Otieno, W., and Nanduri, V. ”Educating the STARS,” Industrial Engineer, September, 2006.
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