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Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea

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Cited by:

  1. Carla Cristiane Sokulski & Murillo Vetroni Barros & Rodrigo Salvador & Evandro Eduardo Broday & Antonio Carlos de Francisco, 2022. "Trends in Renewable Electricity Generation in the G20 Countries: An Analysis of the 1990–2020 Period," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
  2. 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).
  3. Choi, Gobong & Huh, Sung-Yoon & Heo, Eunnyeong & Lee, Chul-Yong, 2018. "Prices versus quantities: Comparing economic efficiency of feed-in tariff and renewable portfolio standard in promoting renewable electricity generation," Energy Policy, Elsevier, vol. 113(C), pages 239-248.
  4. Lim, Juin Yau & Safder, Usman & How, Bing Shen & Ifaei, Pouya & Yoo, Chang Kyoo, 2021. "Nationwide sustainable renewable energy and Power-to-X deployment planning in South Korea assisted with forecasting model," Applied Energy, Elsevier, vol. 283(C).
  5. Wang, Shurui & Huang, Ye & Vorushylo, Inna & Chen, Haisheng & McLarnon, Dominic & MacArtain, Paul & Hewitt, Neil, 2020. "Economic assessment of high renewable energy penetration scenario in 2030 on the interconnected Irish power system," Energy Policy, Elsevier, vol. 145(C).
  6. Shah, Imran Hussain & Hiles, Charlie & Morley, Bruce, 2018. "How do oil prices, macroeconomic factors and policies affect the market for renewable energy?," Applied Energy, Elsevier, vol. 215(C), pages 87-97.
  7. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
  8. Wichsinee Wibulpolprasert & Umnouy Ponsukcharoen & Siripha Junlakarn & Sopitsuda Tongsopit, 2021. "Preliminarily Screening Geographical Hotspots for New Rooftop PV Installation: A Case Study in Thailand," Energies, MDPI, vol. 14(11), pages 1-30, June.
  9. Mukisa, Nicholas & Zamora, Ramon & Lie, Tek Tjing, 2021. "Diffusion forecast for grid-tied rooftop solar photovoltaic technology under store-on grid scheme model in Sub-Saharan Africa: Government role assessment," Renewable Energy, Elsevier, vol. 180(C), pages 516-535.
  10. Zhao, Lu-Tao & Wang, Yi & Guo, Shi-Qiu & Zeng, Guan-Rong, 2018. "A novel method based on numerical fitting for oil price trend forecasting," Applied Energy, Elsevier, vol. 220(C), pages 154-163.
  11. Yugang He & Moongi Lee, 2022. "Macroeconomic Effects of Energy Price: New Insight from Korea?," Mathematics, MDPI, vol. 10(15), pages 1-14, July.
  12. Anita M. Bunea & Pietro Manfredi & Pompeo Della Posta & Mariangela Guidolin, 2019. "What do adoption patterns of solar panels observed so far tell about governments' incentive? insight from diffusion models," Papers 1909.10017, arXiv.org.
  13. Li, Wei & Lu, Can & Zhang, Yan-Wu, 2019. "Prospective exploration of future renewable portfolio standard schemes in China via a multi-sector CGE model," Energy Policy, Elsevier, vol. 128(C), pages 45-56.
  14. Bunea, Anita M. & Della Posta, Pompeo & Guidolin, Mariangela & Manfredi, Piero, 2020. "What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
  15. Labhard, Vincent & Lehtimäki, Jonne, 2025. "Climate change policies and technologies: diffusion and interaction with institutions and governance," Working Paper Series 3027, European Central Bank.
  16. Wang, Bing & Wei, Yi-Ming & Yuan, Xiao-Chen, 2018. "Possible design with equity and responsibility in China’s renewable portfolio standards," Applied Energy, Elsevier, vol. 232(C), pages 685-694.
  17. Jinah Yang & Daiki Min & Jeenyoung Kim, 2020. "The Use of Big Data and Its Effects in a Diffusion Forecasting Model for Korean Reverse Mortgage Subscribers," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
  18. Zhu, Xiaoyue & Dang, Yaoguo & Ding, Song, 2020. "Using a self-adaptive grey fractional weighted model to forecast Jiangsu’s electricity consumption in China," Energy, Elsevier, vol. 190(C).
  19. Rigo, Paula Donaduzzi & Lunardi, Gabriel Machado & Siluk, Julio Cezar Mairesse & Schneider, Paulo Schmidt & Nascimento, Felipe Moraes do & Thomasi, Virgínia & Funke, Edson, 2024. "How explain on-grid PV systems diffusion? Review and application in Brazil," Renewable Energy, Elsevier, vol. 230(C).
  20. Rawan Hakawati & Beatrice Smyth & Helen Daly & Geoffrey McCullough & David Rooney, 2019. "Is the Fischer-Tropsch Conversion of Biogas-Derived Syngas to Liquid Fuels Feasible at Atmospheric Pressure?," Energies, MDPI, vol. 12(6), pages 1-28, March.
  21. Sinigaglia, Tiago & Eduardo Santos Martins, Mario & Cezar Mairesse Siluk, Julio, 2022. "Technological evolution of internal combustion engine vehicle: A patent data analysis," Applied Energy, Elsevier, vol. 306(PA).
  22. Kulmer, Veronika & Seebauer, Sebastian & Hinterreither, Helene & Kortschak, Dominik & Theurl, Michaela C. & Haas, Willi, 2022. "Transforming the s-shape: Identifying and explaining turning points in market diffusion curves of low-carbon technologies in Austria," Research Policy, Elsevier, vol. 51(1).
  23. Handayani, Kamia & Krozer, Yoram & Filatova, Tatiana, 2017. "Trade-offs between electrification and climate change mitigation: An analysis of the Java-Bali power system in Indonesia," Applied Energy, Elsevier, vol. 208(C), pages 1020-1037.
  24. Candas, Soner & Siala, Kais & Hamacher, Thomas, 2019. "Sociodynamic modeling of small-scale PV adoption and insights on future expansion without feed-in tariffs," Energy Policy, Elsevier, vol. 125(C), pages 521-536.
  25. Zhong Wang & Mingyu Wu & Shixiang Li & Changji Wang, 2021. "The Effect Evaluation of China’s Energy-Consuming Right Trading Policy: Empirical Analysis Based on PSM-DID," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
  26. Liu, Xueying & Madlener, Reinhard, 2019. "Get Ready for Take-Off: A Two-Stage Model of Aircraft Market Diffusion," FCN Working Papers 15/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
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