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The structure of uncertainty in future low carbon pathways

Citations

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Cited by:

  1. Koppelaar, Rembrandt H.E.M. & Keirstead, James & Shah, Nilay & Woods, Jeremy, 2016. "A review of policy analysis purpose and capabilities of electricity system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1531-1544.
  2. Bianka Shoai Tehrani & Pascal Da Costa & Danièle Attias, 2014. "Three Investment Scenarios for Future Nuclear Reactors in Europe," Working Papers hal-00997005, HAL.
  3. Paredes-Vergara, Matías & Palma-Behnke, Rodrigo & Haas, Jannik, 2024. "Characterizing decision making under deep uncertainty for model-based energy transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  4. Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).
  5. Chicombo, Adélia Filosa Francisco & Musango, Josephine Kaviti, 2024. "Urban households energy transition pathways: A gendered perspective regarding Mozambique," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
  6. Barton, John & Davies, Lloyd & Dooley, Ben & Foxon, Timothy J. & Galloway, Stuart & Hammond, Geoffrey P. & O’Grady, Áine & Robertson, Elizabeth & Thomson, Murray, 2018. "Transition pathways for a UK low-carbon electricity system: Comparing scenarios and technology implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2779-2790.
  7. Victor Caritte & Salvador Acha & Nilay Shah, 2015. "Enhancing Corporate Environmental Performance Through Reporting and Roadmaps," Business Strategy and the Environment, Wiley Blackwell, vol. 24(5), pages 289-308, July.
  8. Li, Pei-Hao & Pye, Steve & Keppo, Ilkka, 2020. "Using clustering algorithms to characterise uncertain long-term decarbonisation pathways," Applied Energy, Elsevier, vol. 268(C).
  9. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2023. "Sustainable development pathways of China's wind power industry under uncertainties: Perspective from economic benefits and technical potential," Energy Policy, Elsevier, vol. 182(C).
  10. Ahl, A. & Yarime, M. & Goto, M. & Chopra, Shauhrat S. & Kumar, Nallapaneni Manoj. & Tanaka, K. & Sagawa, D., 2020. "Exploring blockchain for the energy transition: Opportunities and challenges based on a case study in Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
  11. Trutnevyte, Evelina & Strachan, Neil & Dodds, Paul E. & Pudjianto, Danny & Strbac, Goran, 2015. "Synergies and trade-offs between governance and costs in electricity system transition," Energy Policy, Elsevier, vol. 85(C), pages 170-181.
  12. Chaudry, Modassar & Abeysekera, Muditha & Hosseini, Seyed Hamid Reza & Jenkins, Nick & Wu, Jianzhong, 2015. "Uncertainties in decarbonising heat in the UK," Energy Policy, Elsevier, vol. 87(C), pages 623-640.
  13. Marsiglio, Simone & Tolotti, Marco, 2024. "Complexity in low-carbon transitions: Uncertainty and policy implications," Energy Economics, Elsevier, vol. 138(C).
  14. Sithole, H. & Cockerill, T.T. & Hughes, K.J. & Ingham, D.B. & Ma, L. & Porter, R.T.J. & Pourkashanian, M., 2016. "Developing an optimal electricity generation mix for the UK 2050 future," Energy, Elsevier, vol. 100(C), pages 363-373.
  15. Wakiyama, Takako & Zusman, Eric & Monogan, James E., 2014. "Can a low-carbon-energy transition be sustained in post-Fukushima Japan? Assessing the varying impacts of exogenous shocks," Energy Policy, Elsevier, vol. 73(C), pages 654-666.
  16. Franziska Flachsbarth & Marion Wingenbach & Matthias Koch, 2021. "Addressing the Effect of Social Acceptance on the Distribution of Wind Energy Plants and the Transmission Grid in Germany," Energies, MDPI, vol. 14(16), pages 1-18, August.
  17. John Beirne & Peter J. Morgan & Tetsushi Sonobe (ed.), 2021. "COVID-19 Impacts and Policy Options: An Asian Perspective," ADBI Books, Asian Development Bank Institute, number 21, September.
  18. Robertson, Elizabeth & O'Grady, Áine & Barton, John & Galloway, Stuart & Emmanuel-Yusuf, Damiete & Leach, Matthew & Hammond, Geoff & Thomson, Murray & Foxon, Tim, 2017. "Reconciling qualitative storylines and quantitative descriptions: An iterative approach," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 293-306.
  19. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
  20. Kattirtzi, Michael & Winskel, Mark, 2020. "When experts disagree: Using the Policy Delphi method to analyse divergent expert expectations and preferences on UK energy futures," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
  21. Li, Pei-Hao & Zamanipour, Behzad & Keppo, Ilkka, 2024. "Revealing technological entanglements in uncertain decarbonisation pathways using bayesian networks," Energy Policy, Elsevier, vol. 193(C).
  22. 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.
  23. Laugs, Gideon A.H. & Moll, Henri C., 2017. "A review of the bandwidth and environmental discourses of future energy scenarios: Shades of green and gray," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 520-530.
  24. Bianka Shoai Tehrani & Pascal da Costa & Danièle Attias, 2016. "Three investment scenarios for future nuclear reactors in Europe," Post-Print hal-00997005, HAL.
  25. Stefan M. Buettner, 2022. "Roadmap to Neutrality—What Foundational Questions Need Answering to Determine One’s Ideal Decarbonisation Strategy," Energies, MDPI, vol. 15(9), pages 1-24, April.
  26. Hoggett, Richard, 2014. "Technology scale and supply chains in a secure, affordable and low carbon energy transition," Applied Energy, Elsevier, vol. 123(C), pages 296-306.
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