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Innovation and the price of wind energy in the US

Citations

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Cited by:

  1. Schauf, Magnus & Schwenen, Sebastian, 2021. "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, vol. 104(C).
  2. Connelly, Michael C. & Sekhar, J.A., 2012. "U. S. energy production activity and innovation," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 30-46.
  3. Zhang, Jie & Chowdhury, Souma & Messac, Achille & Castillo, Luciano, 2012. "A Response Surface-Based Cost Model for Wind Farm Design," Energy Policy, Elsevier, vol. 42(C), pages 538-550.
  4. Tian Tang & David Popp, 2014. "The Learning Process and Technological Change in Wind Power: Evidence from China's CDM Wind Projects," NBER Working Papers 19921, National Bureau of Economic Research, Inc.
  5. Delucchi, Mark A. & Jacobson, Mark Z., 2011. "Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies," Energy Policy, Elsevier, vol. 39(3), pages 1170-1190, March.
  6. Tian Tang & David Popp, 2014. "The Learning Process and Technological Change in Wind Power: Evidence from China's CDM Wind Projects," CESifo Working Paper Series 4705, CESifo.
  7. Bolinger, Mark & Wiser, Ryan, 2012. "Understanding wind turbine price trends in the U.S. over the past decade," Energy Policy, Elsevier, vol. 42(C), pages 628-641.
  8. Rahimi, Ehsan & Rabiee, Abdorreza & Aghaei, Jamshid & Muttaqi, Kashem M. & Esmaeel Nezhad, Ali, 2013. "On the management of wind power intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 643-653.
  9. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
  10. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
  11. Yeh, Tsu-Ming & Huang, Yu-Lang, 2014. "Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP," Renewable Energy, Elsevier, vol. 66(C), pages 159-169.
  12. Fatih Karpat, 2013. "A Virtual Tool for Minimum Cost Design of a Wind Turbine Tower with Ring Stiffeners," Energies, MDPI, vol. 6(8), pages 1-19, July.
  13. Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
  14. Mostafaeipour, Ali, 2010. "Productivity and development issues of global wind turbine industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1048-1058, April.
  15. Dinica, Valentina, 2011. "Renewable electricity production costs--A framework to assist policy-makers' decisions on price support," Energy Policy, Elsevier, vol. 39(7), pages 4153-4167, July.
  16. Wenli Qiang & Shuwen Niu & Xiaojie Liu & Xiang Wang & Zhuo Jia & Runqi Dai, 2018. "Analysis of generation cost changes during China’s energy transition," Energy & Environment, , vol. 29(4), pages 456-472, June.
  17. Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017. "The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India," Research Policy, Elsevier, vol. 46(10), pages 1873-1886.
  18. Sovacool, Benjamin K. & Gilbert, Alex & Nugent, Daniel, 2014. "Risk, innovation, electricity infrastructure and construction cost overruns: Testing six hypotheses," Energy, Elsevier, vol. 74(C), pages 906-917.
  19. Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
  20. Qiu, Yueming & Anadon, Laura D., 2012. "The price of wind power in China during its expansion: Technology adoption, learning-by-doing, economies of scale, and manufacturing localization," Energy Economics, Elsevier, vol. 34(3), pages 772-785.
  21. E, Jianwei & Ye, Jimin & He, Lulu & Jin, Haihong, 2019. "Energy price prediction based on independent component analysis and gated recurrent unit neural network," Energy, Elsevier, vol. 189(C).
  22. Reiche, Danyel, 2013. "Climate policies in the U.S. at the stakeholder level: A case study of the National Football League," Energy Policy, Elsevier, vol. 60(C), pages 775-784.
  23. Beck, Marisa & Rivers, Nicholas & Wigle, Randall, 2018. "How do learning externalities influence the evaluation of Ontario's renewables support policies?," Energy Policy, Elsevier, vol. 117(C), pages 86-99.
  24. Wiener, Joshua G. & Koontz, Tomas M., 2012. "Extent and types of small-scale wind policies in the U.S. states: Adoption and effectiveness," Energy Policy, Elsevier, vol. 46(C), pages 15-24.
  25. Castrejon-Campos, Omar & Aye, Lu & Hui, Felix Kin Peng, 2022. "Effects of learning curve models on onshore wind and solar PV cost developments in the USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  26. Shrimali, Gireesh & Trivedi, Saurabh & Srinivasan, Sandhya & Goel, Shobhit & Nelson, David, 2016. "Cost-effective policies for reaching India's 2022 renewable targets," Renewable Energy, Elsevier, vol. 93(C), pages 255-268.
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