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Dynamic scenario discovery under deep uncertainty: The future of copper

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Cited by:

  1. Yujin Jeong & Hyejin Jang & Byungun Yoon, 2021. "Developing a risk-adaptive technology roadmap using a Bayesian network and topic modeling under deep uncertainty," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3697-3722, May.
  2. Pei-Hao Li & Steve Pye & Ilkka Keppo & Marc Jaxa-Rozen & Evelina Trutnevyte, 2023. "Revealing effective regional decarbonisation measures to limit global temperature increase in uncertain transition scenarios with machine learning techniques," Climatic Change, Springer, vol. 176(7), pages 1-23, July.
  3. Malekpour, Shirin & de Haan, Fjalar J. & Brown, Rebekah R., 2016. "A methodology to enable exploratory thinking in strategic planning," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 192-202.
  4. Steinmann, Patrick & Auping, Willem L. & Kwakkel, Jan H., 2020. "Behavior-based scenario discovery using time series clustering," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
  5. Hoolohan, Claire & McLachlan, Carly & Larkin, Alice, 2019. "‘Aha’ moments in the water-energy-food nexus: A new morphological scenario method to accelerate sustainable transformation," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  6. Céline Guivarch & Julie Rozenberg & Vanessa Schweizer, 2016. "The diversity of socio-economic pathways and CO2 emissions scenarios: Insights from the investigation of a scenarios database," Post-Print halshs-01292901, HAL.
  7. Li, Francis G.N. & Trutnevyte, Evelina, 2017. "Investment appraisal of cost-optimal and near-optimal pathways for the UK electricity sector transition to 2050," Applied Energy, Elsevier, vol. 189(C), pages 89-109.
  8. Zhang, Hong & Nguyen, Hoang & Vu, Diep-Anh & Bui, Xuan-Nam & Pradhan, Biswajeet, 2021. "Forecasting monthly copper price: A comparative study of various machine learning-based methods," Resources Policy, Elsevier, vol. 73(C).
  9. Jan Kwakkel & Marjolijn Haasnoot & Warren Walker, 2015. "Developing dynamic adaptive policy pathways: a computer-assisted approach for developing adaptive strategies for a deeply uncertain world," Climatic Change, Springer, vol. 132(3), pages 373-386, October.
  10. Parker, Andrew M. & Srinivasan, Sinduja V. & Lempert, Robert J. & Berry, Sandra H., 2015. "Evaluating simulation-derived scenarios for effective decision support," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 64-77.
  11. Julie Shortridge & Seth Guikema & Ben Zaitchik, 2017. "Robust decision making in data scarce contexts: addressing data and model limitations for infrastructure planning under transient climate change," Climatic Change, Springer, vol. 140(2), pages 323-337, January.
  12. Tiberius, Victor & Siglow, Caroline & Sendra-García, Javier, 2020. "Scenarios in business and management: The current stock and research opportunities," Journal of Business Research, Elsevier, vol. 121(C), pages 235-242.
  13. Johansen, Iver, 2018. "Scenario modelling with morphological analysis," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 116-125.
  14. David C. Lane & Özge Pala & Yaman Barlas & Willem L. Auping & Erik Pruyt & Jan H. Kwakkel, 2015. "Societal Ageing in the Netherlands: A Robust System Dynamics Approach," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(4), pages 485-501, July.
  15. Chamon Wieles & Jan Kwakkel & Willem L. Auping & Jan Willem van den End, 2024. "Scenario discovery to address deep uncertainty in monetary policy," Working Papers 818, DNB.
  16. Bob Walrave, 2016. "Determining intervention thresholds that change output behavior patterns," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 261-278, July.
  17. Eker, Sibel & van Daalen, Els, 2015. "A model-based analysis of biomethane production in the Netherlands and the effectiveness of the subsidization policy under uncertainty," Energy Policy, Elsevier, vol. 82(C), pages 178-196.
  18. Erik Pruyt & Jan H. Kwakkel, 2014. "Radicalization under deep uncertainty: a multi-model exploration of activism, extremism, and terrorism," System Dynamics Review, System Dynamics Society, vol. 30(1-2), pages 1-28, January.
  19. Jan H. Kwakkel & Erik Pruyt, 2015. "Using System Dynamics for Grand Challenges: The ESDMA Approach," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(3), pages 358-375, May.
  20. Jahel, Camille & Bourgeois, Robin & Bourgoin, Jérémy & Daré, William's & De Lattre-Gasquet, Marie & Delay, Etienne & Dumas, Patrice & Le Page, Christophe & Piraux, Marc & Prudhomme, Rémi, 2023. "The future of social-ecological systems at the crossroads of quantitative and qualitative methods," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  21. Moallemi, Enayat A. & de Haan, Fjalar & Kwakkel, Jan & Aye, Lu, 2017. "Narrative-informed exploratory analysis of energy transition pathways: A case study of India's electricity sector," Energy Policy, Elsevier, vol. 110(C), pages 271-287.
  22. Patrick Steinmann & Koen van der Zwet & Bas Keijser, 2024. "Simulation‐based generation and analysis of multidimensional future scenarios with time series clustering," Futures & Foresight Science, John Wiley & Sons, vol. 6(4), December.
  23. He, Xin & Xu, Xinwei & Shen, Yu, 2023. "How climate change affects enterprise inventory management —— From the perspective of regional traffic," Journal of Business Research, Elsevier, vol. 162(C).
  24. Simona Mannucci & Federica Rosso & Alessandro D’Amico & Gabriele Bernardini & Michele Morganti, 2022. "Flood Resilience and Adaptation in the Built Environment: How Far along Are We?," Sustainability, MDPI, vol. 14(7), pages 1-22, March.
  25. Ramboarison-Lalao, Lovanirina & Gannouni, Kais, 2019. "Liberated firm, a leverage of well-being and technological change? A prospective study based on the scenario method," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 129-139.
  26. Jan Kwakkel & Willem Auping, 2021. "Reaction: A commentary on Lustick and Tetlock (2021)," Futures & Foresight Science, John Wiley & Sons, vol. 3(2), June.
  27. Kwakkel, J.H. & Cunningham, S.C., 2016. "Improving scenario discovery by bagging random boxes," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 124-134.
  28. Nabavi, Zohre & Mirzehi, Mohammad & Dehghani, Hesam, 2024. "Reliable novel hybrid extreme gradient boosting for forecasting copper prices using meta-heuristic algorithms: A thirty-year analysis," Resources Policy, Elsevier, vol. 90(C).
  29. Alexandros Flamos, 2016. "A Sectoral Micro-Economic Approach to Scenario Selection and Development: The Case of the Greek Power Sector," Energies, MDPI, vol. 9(2), pages 1-12, January.
  30. Erik Pruyt & Tushith Islam, 2015. "On generating and exploring the behavior space of complex models," System Dynamics Review, System Dynamics Society, vol. 31(4), pages 220-249, October.
  31. Jan H. Kwakkel, 2019. "A generalized many‐objective optimization approach for scenario discovery," Futures & Foresight Science, John Wiley & Sons, vol. 1(2), June.
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