IDEAS home Printed from https://ideas.repec.org/e/pol15.html
   My authors  Follow this author

Fernando Oliveira

Not to be confused with: Fernando Nascimento Oliveira Sr.

Personal Details

First Name:Fernando
Middle Name:S.
Last Name:Oliveira
Suffix:
RePEc Short-ID:pol15
http://www45.essec.edu/professorsCV/showCV.do?keyUrl=fernando-oliveira#

Affiliation

ESSEC Business School

http://www.essec.edu/
France

Research output

as
Jump to: Working papers Articles

Working papers

  1. Fernando S. Oliveira & Derek W. Bunn & London Business School, 2006. "Modeling the strategic trading of electricity assets," Computing in Economics and Finance 2006 235, Society for Computational Economics.
  2. Fernando S. Oliveira, 2002. "Quasi-Perfect Rationality, Playing Automata Dynamic Games," Computing in Economics and Finance 2002 215, Society for Computational Economics.
  3. Derek W. Bunn and Fernando Oliveira, 2001. "An Application of Agent-based Simulation to the New Electricity Trading Arrangements of England and Wales," Computing in Economics and Finance 2001 93, Society for Computational Economics.

Articles

  1. Oliveira, Fernando S. & Ruiz, Carlos & Conejo, Antonio J., 2013. "Contract design and supply chain coordination in the electricity industry," European Journal of Operational Research, Elsevier, vol. 227(3), pages 527-537.
  2. Murphy, Frederic & Oliveira, Fernando S., 2013. "Pricing option contracts on the strategic petroleum reserve," Energy Economics, Elsevier, vol. 40(C), pages 242-250.
  3. Gülpınar, N. & Oliveira, F.S., 2012. "Robust trading in spot and forward oligopolistic markets," International Journal of Production Economics, Elsevier, vol. 138(1), pages 35-45.
  4. Fernando Oliveira, 2010. "Modeling Emotions and Reason in Agent-Based Systems," Computational Economics, Springer;Society for Computational Economics, vol. 35(2), pages 155-164, February.
  5. Murphy, Frederic & Oliveira, Fernando S., 2010. "Developing a market-based approach to managing the US strategic petroleum reserve," European Journal of Operational Research, Elsevier, vol. 206(2), pages 488-495, October.
  6. Caldart, Adrián A. & Oliveira, Fernando, 2010. "Analysing industry profitability: A "complexity as cause" perspective," European Management Journal, Elsevier, vol. 28(2), pages 95-107, April.
  7. Fernando Oliveira, 2010. "Bottom-up design of strategic options as finite automata," Computational Management Science, Springer, vol. 7(4), pages 355-375, October.
  8. Oliveira, Fernando S., 2010. "Limitations of learning in automata-based systems," European Journal of Operational Research, Elsevier, vol. 203(3), pages 684-691, June.
  9. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.
  10. Bunn, Derek W. & Oliveira, Fernando S., 2007. "Agent-based analysis of technological diversification and specialization in electricity markets," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1265-1278, September.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Derek W. Bunn and Fernando Oliveira, 2001. "An Application of Agent-based Simulation to the New Electricity Trading Arrangements of England and Wales," Computing in Economics and Finance 2001 93, Society for Computational Economics.

    Cited by:

    1. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.
    2. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    3. Sophie Thoyer & Atakelty Hailu, 2005. "Multi-Unit Auctions to Allocate Water Scarcity Simulating bidding behaviour with agent based models," Working Papers 05-01, LAMETA, Universtiy of Montpellier, revised Jan 2005.
    4. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Forecasting electricity prices: The impact of fundamentals and time-varying coefficients," International Journal of Forecasting, Elsevier, vol. 24(4), pages 764-785.
    5. Tarek Abdelzaher & Jiawei Han & Yifan Hao & Andong Jing & Dongxin Liu & Shengzhong Liu & Hoang Hai Nguyen & David M. Nicol & Huajie Shao & Tianshi Wang & Shuochao Yao & Yu Zhang & Omar Malik & Stephen, 2020. "Multiscale online media simulation with SocialCube," Computational and Mathematical Organization Theory, Springer, vol. 26(2), pages 145-174, June.
    6. Julia Schindler, 2012. "Rethinking the Tragedy of the Commons: The Integration of Socio-Psychological Dispositions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-4.
    7. Karakatsani Nektaria V & Bunn Derek W., 2010. "Fundamental and Behavioural Drivers of Electricity Price Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-42, September.
    8. Tao, Zhenmin & Moncada, Jorge Andrés & Poncelet, Kris & Delarue, Erik, 2021. "Review and analysis of investment decision making algorithms in long-term agent-based electric power system simulation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    9. David M. Newbery & Thomas Greve, 2015. "The robustness of industrial commodity oligopoly pricing strategies," Working Papers EPRG 1522, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    10. Sueyoshi, Toshiyuki, 2010. "An agent-based approach equipped with game theory: Strategic collaboration among learning agents during a dynamic market change in the California electricity crisis," Energy Economics, Elsevier, vol. 32(5), pages 1009-1024, September.
    11. Silvano Cincotti & Eric Guerci, 2005. "Agent-based simulation of power exchange with heterogeneous production companies," Computing in Economics and Finance 2005 334, Society for Computational Economics.
    12. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    13. Markose, Sheri & Alentorn, Amadeo & Koesrindartoto, Deddy & Allen, Peter & Blythe, Phil & Grosso, Sergio, 2007. "A smart market for passenger road transport (SMPRT) congestion: An application of computational mechanism design," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2001-2032, June.
    14. Atakelty Hailu & Sophie Thoyer, 2010. "What Format for Multi-Unit Multiple-Bid Auctions?," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 189-209, March.
    15. Albert Banal-Estañol & Augusto Rupérez Micola, 2010. "Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case," Working Papers 443, Barcelona School of Economics.
    16. Esmaeili Aliabadi, Danial & Kaya, Murat & Sahin, Guvenc, 2017. "Competition, risk and learning in electricity markets: An agent-based simulation study," Applied Energy, Elsevier, vol. 195(C), pages 1000-1011.
    17. Ning Wang & Weisheng Xu & Weihui Shao & Zhiyu Xu, 2019. "A Q-Cube Framework of Reinforcement Learning Algorithm for Continuous Double Auction among Microgrids," Energies, MDPI, vol. 12(15), pages 1-26, July.
    18. Atakelty Hailu & Sophie Thoyer, 2007. "Designing Multi‐unit Multiple Bid Auctions: An Agent‐based Computational Model of Uniform, Discriminatory and Generalised Vickrey Auctions," The Economic Record, The Economic Society of Australia, vol. 83(s1), pages 57-72, September.
    19. Rahimiyan, Morteza & Rajabi Mashhadi, Habib, 2010. "Evaluating the efficiency of divestiture policy in promoting competitiveness using an analytical method and agent-based computational economics," Energy Policy, Elsevier, vol. 38(3), pages 1588-1595, March.
    20. Haghnevis, Moeed & Askin, Ronald G. & Armbruster, Dieter, 2016. "An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems," Socio-Economic Planning Sciences, Elsevier, vol. 56(C), pages 67-87.
    21. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    22. Banal-Estañol, Albert & Rupérez Micola, Augusto, 2011. "Behavioural simulations in spot electricity markets," European Journal of Operational Research, Elsevier, vol. 214(1), pages 147-159, October.
    23. Guerci, E. & Ivaldi, S. & Pastore, S. & Cincotti, S., 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 69-76.
    24. Oliveira, Fernando S. & Ruiz, Carlos & Conejo, Antonio J., 2013. "Contract design and supply chain coordination in the electricity industry," European Journal of Operational Research, Elsevier, vol. 227(3), pages 527-537.
    25. Dawid Herbert & Gemkow Simon & Harting Philipp & Kabus Kordian & Wersching Klaus & Neugart Michael, 2008. "Skills, Innovation, and Growth: An Agent-Based Policy Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 251-275, April.
    26. Karla Atkins & Achla Marathe & Chris Barrett, 2007. "A computational approach to modeling commodity markets," Computational Economics, Springer;Society for Computational Economics, vol. 30(2), pages 125-142, September.
    27. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Intra-day and regime-switching dynamics in electricity price formation," Energy Economics, Elsevier, vol. 30(4), pages 1776-1797, July.
    28. Manuel L. Costa & Fernando S. Oliveira, 2005. "An Evolutionary Analysis of Investment in Electricity Markets," Computing in Economics and Finance 2005 430, Society for Computational Economics.
    29. Hailu, Atakelty & Schilizzi, Steven & Thoyer, Sophie, 2005. "Assessing the performance of auctions for the allocation of conservation contracts: Theoretical and computational approaches," 2005 Annual meeting, July 24-27, Providence, RI 19478, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    30. Safarzyńska, Karolina & Brouwer, Roy & Hofkes, Marjan, 2013. "Evolutionary modelling of the macro-economic impacts of catastrophic flood events," Ecological Economics, Elsevier, vol. 88(C), pages 108-118.
    31. Safarzynska, Karolina & van den Bergh, Jeroen C.J.M., 2011. "Industry evolution, rational agents and the transition to sustainable electricity production," Energy Policy, Elsevier, vol. 39(10), pages 6440-6452, October.
    32. Hailu, Atakelty & Schilizzi, Steven, 2003. "Investigating the performance of market-based instruments for resource conservation: the contribution of agent-based modelling," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57883, Australian Agricultural and Resource Economics Society.
    33. Mario Mureddu & Guido Caldarelli & Alessandro Chessa & Antonio Scala & Alfonso Damiano, 2015. "Green Power Grids: How Energy from Renewable Sources Affects Networks and Markets," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-15, September.
    34. Sarıca, Kemal & Kumbaroğlu, Gürkan & Or, Ilhan, 2012. "Modeling and analysis of a decentralized electricity market: An integrated simulation/optimization approach," Energy, Elsevier, vol. 44(1), pages 830-852.
    35. Anatolitis, Vasilios & Welisch, Marijke, 2017. "Putting renewable energy auctions into action – An agent-based model of onshore wind power auctions in Germany," Energy Policy, Elsevier, vol. 110(C), pages 394-402.
    36. Bunn, Derek W. & Oliveira, Fernando S., 2007. "Agent-based analysis of technological diversification and specialization in electricity markets," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1265-1278, September.
    37. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    38. Fernando S. Oliveira & Derek W. Bunn & London Business School, 2006. "Modeling the strategic trading of electricity assets," Computing in Economics and Finance 2006 235, Society for Computational Economics.
    39. Newberry, D., 2012. "The roubstness of agent-based models of electricity wholesale markets," Cambridge Working Papers in Economics 1228, Faculty of Economics, University of Cambridge.
    40. Susanne Koschker & Dominik Möst, 2016. "Perfect competition vs. strategic behaviour models to derive electricity prices and the influence of renewables on market power," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(3), pages 661-686, July.
    41. Sueyoshi, Toshiyuki, 2010. "An agent-based approach with collaboration among agents: Estimation of wholesale electricity price on PJM and artificial data generated by a mean reverting model," Energy Economics, Elsevier, vol. 32(5), pages 1025-1033, September.
    42. N. Gülpınar & F. Oliveira, 2014. "Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties," Computational Management Science, Springer, vol. 11(3), pages 267-283, July.
    43. Ma, Tieju & Nakamori, Yoshiteru, 2009. "Modeling technological change in energy systems – From optimization to agent-based modeling," Energy, Elsevier, vol. 34(7), pages 873-879.
    44. Juraj Gazda & Viliam Kováč & Peter Tóth & Peter Drotár & Vladimír Gazda, 2017. "Tax optimization in an agent-based model of real-time spectrum secondary market," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(3), pages 543-558, March.
    45. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    46. Rodilla, P. & Batlle, C. & Salazar, J. & Sánchez, J.J., 2011. "Modeling generation expansion in the context of a security of supply mechanism based on long-term auctions. Application to the Colombian case," Energy Policy, Elsevier, vol. 39(1), pages 176-186, January.
    47. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.

Articles

  1. Oliveira, Fernando S. & Ruiz, Carlos & Conejo, Antonio J., 2013. "Contract design and supply chain coordination in the electricity industry," European Journal of Operational Research, Elsevier, vol. 227(3), pages 527-537.

    Cited by:

    1. Weraikat, Dua & Zanjani, Masoumeh Kazemi & Lehoux, Nadia, 2016. "Two-echelon pharmaceutical reverse supply chain coordination with customers incentives," International Journal of Production Economics, Elsevier, vol. 176(C), pages 41-52.
    2. Chen, Jen-Yi & Dada, Maqbool & Hu, Qiaohai (Joice), 2017. "Flexible procurement contracts for competing retailers," European Journal of Operational Research, Elsevier, vol. 259(1), pages 130-142.
    3. Wen, Wen & Zhang, Qin, 2015. "A design of straw acquisition mode for China's straw power plant based on supply chain coordination," Renewable Energy, Elsevier, vol. 76(C), pages 369-374.
    4. Wang, Wei & Feng, Lipan & Li, Yongjian & Xu, Fangchao & Deng, Qianzhou, 2020. "Role of financial leasing in a capital-constrained service supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    5. Zhisong Chen & Li Fang & Shong-Iee Ivan Su, 2021. "The value of offline channel subsidy in bricks and clicks: an O2O supply chain coordination perspective," Electronic Commerce Research, Springer, vol. 21(2), pages 599-643, June.
    6. Oliveira, Fernando S., 2017. "Strategic procurement in spot and forward markets considering regulation and capacity constraints," European Journal of Operational Research, Elsevier, vol. 261(2), pages 540-548.
    7. Effenberger, Frank & Hilbert, Andreas, 2016. "Towards an energy information system architecture description for industrial manufacturers: Decomposition & allocation view," Energy, Elsevier, vol. 112(C), pages 599-605.
    8. Arega Getaneh Abate & Rossana Riccardi & Carlos Ruiz, 2022. "Contract design in electricity markets with high penetration of renewables: A two-stage approach," Papers 2201.09927, arXiv.org, revised Jun 2022.
    9. Ensthaler, Ludwig & Giebe, Thomas, 2014. "Bayesian optimal knapsack procurement," European Journal of Operational Research, Elsevier, vol. 234(3), pages 774-779.
    10. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    11. Yucekaya, A., 2022. "Electricity trading for coal-fired power plants in Turkish power market considering uncertainty in spot, derivatives and bilateral contract market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    12. Liu, Cengceng & Li, Nan & Zha, Donglan, 2016. "On the impact of FIT policies on renewable energy investment: Based on the solar power support policies in China's power market," Renewable Energy, Elsevier, vol. 94(C), pages 251-267.
    13. Abate, Arega Getaneh & Riccardi, Rossana & Ruiz, Carlos, 2021. "Contracts in electricity markets under EU ETS: A stochastic programming approach," Energy Economics, Elsevier, vol. 99(C).
    14. Acuña, Luceny Guzmán & Ríos, Diana Ramírez & Arboleda, Carlos Paternina & Ponzón, Esneyder González, 2018. "Cooperation model in the electricity energy market using bi-level optimization and Shapley value," Operations Research Perspectives, Elsevier, vol. 5(C), pages 161-168.
    15. Esmaili, Masoud & Shayanfar, Heidar Ali & Moslemi, Ramin, 2014. "Locating series FACTS devices for multi-objective congestion management improving voltage and transient stability," European Journal of Operational Research, Elsevier, vol. 236(2), pages 763-773.
    16. Ruiz Mora, Carlos & Nogales Martín, Francisco Javier & Prieto Fernández, Francisco Javier, 2015. "Retail competition with switching consumers in electricity markets," DES - Working Papers. Statistics and Econometrics. WS ws1522, Universidad Carlos III de Madrid. Departamento de Estadística.
    17. Lingyan Xu & Fenglian Huang & Jianguo Du & Dandan Wang, 2020. "Decisions in Power Supply Chain with Emission Reduction Effort of Coal-Fired Power Plant under the Power Market Reform," Sustainability, MDPI, vol. 12(16), pages 1-30, August.
    18. C. Ruiz & F. J. Nogales & F. J. Prieto, 2018. "Retail Equilibrium with Switching Consumers in Electricity Markets," Networks and Spatial Economics, Springer, vol. 18(1), pages 145-180, March.
    19. Paolo Falbo & Carlos Ruiz, 2021. "Joint optimization of sales-mix and generation plan for a large electricity producer," Papers 2110.02016, arXiv.org.
    20. Xuelong Zhang & Doudou Wu & Xiangzhong Zhao, 2022. "Two-Step Pricing Decision Models for Manufacturer-Led Dual-Channel Supply Chains," Sustainability, MDPI, vol. 14(16), pages 1-13, August.
    21. Yang Yang & Jianming Yao, 2021. "Resource integration optimization of convenience service platforms adopting dynamic service modes in new retail," Frontiers of Business Research in China, Springer, vol. 15(1), pages 1-19, December.
    22. Dai, Hongyan & Ge, Ling & Zhou, Weihua, 2015. "A design method for supply chain traceability systems with aligned interests," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 14-24.
    23. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza, 2022. "A game-theoretic approach for examining government support strategies and licensing contracts in an electricity supply chain with technology spillover: A case study of Iran," Energy, Elsevier, vol. 242(C).
    24. Jianjun Xu & Mustafa Cagri Gürbüz & Youyi Feng & Shaoxiang Chen, 2020. "Optimal Spot Trading Integrated with Quantity Flexibility Contracts," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1532-1549, June.
    25. Downward, Anthony & Young, David & Zakeri, Golbon, 2016. "Electricity retail contracting under risk-aversion," European Journal of Operational Research, Elsevier, vol. 251(3), pages 846-859.
    26. Falbo, Paolo & Ruiz, Carlos, 2019. "Optimal sales-mix and generation plan in a two-stage electricity market," Energy Economics, Elsevier, vol. 78(C), pages 598-614.
    27. Xie, Yangyang & Liang, Xiaoying & Ma, Lijun & Yan, Houmin, 2017. "Empty container management and coordination in intermodal transport," European Journal of Operational Research, Elsevier, vol. 257(1), pages 223-232.
    28. N. Gülpınar & F. Oliveira, 2014. "Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties," Computational Management Science, Springer, vol. 11(3), pages 267-283, July.
    29. Juan Pablo Herrera Saavedra & Natalia Cantor Vargas & Jenny Paola Lis Gutiérrez & Jacobo Alberto Campo Robledo, 2014. "Discriminación de precios de segundo grado: el caso de tarifas multi-clase para el registro marcario en Colombia," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 0(1), pages 63-78, June.
    30. Lima, Ricardo M. & Novais, Augusto Q. & Conejo, Antonio J., 2015. "Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer. An adaptive robust optimization approach," European Journal of Operational Research, Elsevier, vol. 240(2), pages 457-475.
    31. Haitao Xiang & Ying Kong & Wai Kin Victor Chan & Sum Wai Chiang, 2019. "Impact of Price–Quantity Uncertainties and Risk Aversion on Energy Retailer’s Pricing and Hedging Behaviors," Energies, MDPI, vol. 12(17), pages 1-20, August.
    32. Zavanella, Lucio & Zanoni, Simone & Ferretti, Ivan & Mazzoldi, Laura, 2015. "Energy demand in production systems: A Queuing Theory perspective," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 393-400.
    33. Konstantin Kogan, 2019. "Discounting revisited: evolutionary perspectives on competition and coordination in a supply chain with multiple retailers," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 69-92, March.

  2. Murphy, Frederic & Oliveira, Fernando S., 2013. "Pricing option contracts on the strategic petroleum reserve," Energy Economics, Elsevier, vol. 40(C), pages 242-250.

    Cited by:

    1. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    2. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    3. Ansaripoor, Amir H. & Oliveira, Fernando S., 2018. "Flexible lease contracts in the fleet replacement problem with alternative fuel vehicles: A real-options approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 316-327.
    4. AlKathiri, Nader & Atalla, Tarek N. & Murphy, Frederic & Pierru, Axel, 2020. "Optimal policies for managing oil revenue stabilization funds: An illustration using Saudi Arabia," Resources Policy, Elsevier, vol. 67(C).

  3. Gülpınar, N. & Oliveira, F.S., 2012. "Robust trading in spot and forward oligopolistic markets," International Journal of Production Economics, Elsevier, vol. 138(1), pages 35-45.

    Cited by:

    1. Inderfurth, Karl & Kelle, Peter & Kleber, Rainer, 2013. "Dual sourcing using capacity reservation and spot market: Optimal procurement policy and heuristic parameter determination," European Journal of Operational Research, Elsevier, vol. 225(2), pages 298-309.
    2. Rainer Kleber & Karl Inderfurth & Peter Kelle, 2014. "Combined sourcing and inventory management using capacity reservation and spot market," FEMM Working Papers 140005, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    3. Oliveira, Fernando S., 2017. "Strategic procurement in spot and forward markets considering regulation and capacity constraints," European Journal of Operational Research, Elsevier, vol. 261(2), pages 540-548.
    4. Yucekaya, A., 2022. "Electricity trading for coal-fired power plants in Turkish power market considering uncertainty in spot, derivatives and bilateral contract market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    5. Oliveira, Fernando S. & Ruiz, Carlos & Conejo, Antonio J., 2013. "Contract design and supply chain coordination in the electricity industry," European Journal of Operational Research, Elsevier, vol. 227(3), pages 527-537.
    6. N. Gülpınar & F. Oliveira, 2014. "Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties," Computational Management Science, Springer, vol. 11(3), pages 267-283, July.
    7. Bunn, Derek W. & Oliveira, Fernando S., 2016. "Dynamic capacity planning using strategic slack valuation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 40-50.

  4. Fernando Oliveira, 2010. "Modeling Emotions and Reason in Agent-Based Systems," Computational Economics, Springer;Society for Computational Economics, vol. 35(2), pages 155-164, February.

    Cited by:

    1. Tianzhuo Liu & Huifang Jiao, 2018. "Insights into the Effects of Cognitive Factors and Risk Attitudes on Fire Risk Mitigation Behavior," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1213-1232, December.

  5. Murphy, Frederic & Oliveira, Fernando S., 2010. "Developing a market-based approach to managing the US strategic petroleum reserve," European Journal of Operational Research, Elsevier, vol. 206(2), pages 488-495, October.

    Cited by:

    1. Murphy, Frederic & Oliveira, Fernando S., 2013. "Pricing option contracts on the strategic petroleum reserve," Energy Economics, Elsevier, vol. 40(C), pages 242-250.
    2. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    3. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    4. Ansaripoor, Amir H. & Oliveira, Fernando S., 2018. "Flexible lease contracts in the fleet replacement problem with alternative fuel vehicles: A real-options approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 316-327.

  6. Caldart, Adrián A. & Oliveira, Fernando, 2010. "Analysing industry profitability: A "complexity as cause" perspective," European Management Journal, Elsevier, vol. 28(2), pages 95-107, April.

    Cited by:

    1. Celo, Sokol & Nebus, James & Wang, I. Kim, 2018. "The Role of Internal and External Complexity in Global Factory Performance: An NKC Application," Journal of International Management, Elsevier, vol. 24(1), pages 65-83.
    2. Mirza Waseem Abbas* & Dr. Masood ul Hassan, 2018. "The Moderation Effect of External Environment Turbulence in Tourism Sector: Comparative Analysis of Pakistan & Thailand," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 672-684:2.

  7. Fernando Oliveira, 2010. "Bottom-up design of strategic options as finite automata," Computational Management Science, Springer, vol. 7(4), pages 355-375, October.

    Cited by:

    1. Oliveira, Fernando S., 2010. "Limitations of learning in automata-based systems," European Journal of Operational Research, Elsevier, vol. 203(3), pages 684-691, June.

  8. Oliveira, Fernando S., 2010. "Limitations of learning in automata-based systems," European Journal of Operational Research, Elsevier, vol. 203(3), pages 684-691, June.

    Cited by:

    1. Fernando Oliveira, 2010. "Modeling Emotions and Reason in Agent-Based Systems," Computational Economics, Springer;Society for Computational Economics, vol. 35(2), pages 155-164, February.

  9. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.

    Cited by:

    1. Oliveira, Fernando S. & Costa, Manuel L.G., 2018. "Capacity expansion under uncertainty in an oligopoly using indirect reinforcement-learning," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1039-1050.
    2. Darudi, Ali & Weigt, Hannes, 2019. "Renewable Support, Intermittency and Market Power: An Equilibrium Investment Approach," Working papers 2019/06, Faculty of Business and Economics - University of Basel.
    3. Jinchao Li & Lin Chen & Yuwei Xiang & Jinying Li & Dong Peng, 2018. "Influencing Factors and Development Trend Analysis of China Electric Grid Investment Demand Based on a Panel Co-Integration Model," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    4. Filomena, Tiago Pascoal & Campos-Náñez, Enrique & Duffey, Michael Robert, 2014. "Technology selection and capacity investment under uncertainty," European Journal of Operational Research, Elsevier, vol. 232(1), pages 125-136.
    5. N. Gülpınar & F. Oliveira, 2014. "Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties," Computational Management Science, Springer, vol. 11(3), pages 267-283, July.
    6. Baringo, L. & Conejo, A.J., 2011. "Wind power investment within a market environment," Applied Energy, Elsevier, vol. 88(9), pages 3239-3247.

  10. Bunn, Derek W. & Oliveira, Fernando S., 2007. "Agent-based analysis of technological diversification and specialization in electricity markets," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1265-1278, September.

    Cited by:

    1. Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
    2. Zhang, Hui & Cao, Libin & Zhang, Bing, 2017. "Emissions trading and technology adoption: An adaptive agent-based analysis of thermal power plants in China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 23-32.
    3. Gülpınar, N. & Oliveira, F.S., 2012. "Robust trading in spot and forward oligopolistic markets," International Journal of Production Economics, Elsevier, vol. 138(1), pages 35-45.
    4. Tao Zhang & William J. Nuttall, 2007. "An Agent Based Simulation of Smart Metering Technology Adoption," Working Papers EPRG 0727, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Kimbrough, Steven O. & Murphy, Frederic H., 2013. "Strategic bidding of offer curves: An agent-based approach to exploring supply curve equilibria," European Journal of Operational Research, Elsevier, vol. 229(1), pages 165-178.
    6. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2021. "Multi-unit multiple bid auctions in balancing markets: An agent-based Q-learning approach," Energy Economics, Elsevier, vol. 93(C).
    7. Augusto Rupérez-Micola & Albert Banal-Estañol, 2007. "Composition of electricity generation portfolios, pivotal dynamics and market prices," Economics Working Papers 1083, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Albert Banal-Estañol & Augusto Rupérez Micola, 2010. "Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case," Working Papers 443, Barcelona School of Economics.
    9. Haghnevis, Moeed & Askin, Ronald G. & Armbruster, Dieter, 2016. "An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems," Socio-Economic Planning Sciences, Elsevier, vol. 56(C), pages 67-87.
    10. Banal-Estañol, Albert & Rupérez Micola, Augusto, 2011. "Behavioural simulations in spot electricity markets," European Journal of Operational Research, Elsevier, vol. 214(1), pages 147-159, October.
    11. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2018. "Multi-unit multiple bid auctions in balancing markets: an agent-based Q-learning approach," EWI Working Papers 2018-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    12. Filomena, Tiago Pascoal & Campos-Náñez, Enrique & Duffey, Michael Robert, 2014. "Technology selection and capacity investment under uncertainty," European Journal of Operational Research, Elsevier, vol. 232(1), pages 125-136.
    13. Franco, Carlos J. & Castaneda, Monica & Dyner, Isaac, 2015. "Simulating the new British Electricity-Market Reform," European Journal of Operational Research, Elsevier, vol. 245(1), pages 273-285.
    14. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," MPRA Paper 52775, University Library of Munich, Germany.
    15. Inês F. G. Reis & Ivo Gonçalves & Marta A. R. Lopes & Carlos Henggeler Antunes, 2021. "Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach," Energies, MDPI, vol. 14(4), pages 1-32, February.
    16. Oliveira, Fernando S., 2010. "Limitations of learning in automata-based systems," European Journal of Operational Research, Elsevier, vol. 203(3), pages 684-691, June.
    17. N. Gülpınar & F. Oliveira, 2014. "Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties," Computational Management Science, Springer, vol. 11(3), pages 267-283, July.
    18. Bunn, Derek W. & Oliveira, Fernando S., 2016. "Dynamic capacity planning using strategic slack valuation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 40-50.
    19. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (1) 2006-07-15
  2. NEP-COM: Industrial Competition (1) 2006-07-15
  3. NEP-ENE: Energy Economics (1) 2006-07-15
  4. NEP-FMK: Financial Markets (1) 2006-07-15
  5. NEP-MST: Market Microstructure (1) 2006-07-15

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Fernando S. Oliveira should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.