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Trends toward 100% renewable electricity supply in Germany and Europe: a paradigm shift in energy policies

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  1. Guandalini, Giulio & Campanari, Stefano & Romano, Matteo C., 2015. "Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment," Applied Energy, Elsevier, vol. 147(C), pages 117-130.
  2. Child, Michael & Kemfert, Claudia & Bogdanov, Dmitrii & Breyer, Christian, 2019. "Flexible electricity generation, grid exchange and storage for the transition to a 100% renewable energy system in Europe," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 139, pages 80-101.
  3. Stefan Arens & Sunke Schlüters & Benedikt Hanke & Karsten von Maydell & Carsten Agert, 2020. "Sustainable Residential Energy Supply: A Literature Review-Based Morphological Analysis," Energies, MDPI, vol. 13(2), pages 1-28, January.
  4. Franki, Vladimir & Višković, Alfredo, 2021. "Multi-criteria decision support: A case study of Southeast Europe power systems," Utilities Policy, Elsevier, vol. 73(C).
  5. Vo, Truc T.Q. & Rajendran, Karthik & Murphy, Jerry D., 2018. "Can power to methane systems be sustainable and can they improve the carbon intensity of renewable methane when used to upgrade biogas produced from grass and slurry?," Applied Energy, Elsevier, vol. 228(C), pages 1046-1056.
  6. Daniel Icaza & David Vallejo-Ramirez & Carlos Guerrero Granda & Edwin Marín, 2024. "Challenges, Roadmaps and Smart Energy Transition towards 100% Renewable Energy Markets in American Islands: A Review," Energies, MDPI, vol. 17(5), pages 1-27, February.
  7. Akintande, Olalekan J. & Olubusoye, Olusanya E. & Adenikinju, Adeola F. & Olanrewaju, Busayo T., 2020. "Modeling the determinants of renewable energy consumption: Evidence from the five most populous nations in Africa," Energy, Elsevier, vol. 206(C).
  8. Xiao, Lin & Guan, Yuru & Guo, Yaqin & Xue, Rui & Li, Jiashuo & Shan, Yuli, 2022. "Emission accounting and drivers in 2004 EU accession countries," Applied Energy, Elsevier, vol. 314(C).
  9. Mikova, Nadezhda & Eichhammer, Wolfgang & Pfluger, Benjamin, 2019. "Low-carbon energy scenarios 2050 in north-west European countries: Towards a more harmonised approach to achieve the EU targets," Energy Policy, Elsevier, vol. 130(C), pages 448-460.
  10. Bocca, Alberto & Bottaccioli, Lorenzo & Chiavazzo, Eliodoro & Fasano, Matteo & Macii, Alberto & Asinari, Pietro, 2016. "Estimating photovoltaic energy potential from a minimal set of randomly sampled data," Renewable Energy, Elsevier, vol. 97(C), pages 457-467.
  11. Michael Wessel & Reinhard Madlener & Christoph Hilgers, 2020. "Economic Feasibility of Semi-Underground Pumped Storage Hydropower Plants in Open-Pit Mines," Energies, MDPI, vol. 13(16), pages 1-38, August.
  12. Renn, Ortwin & Marshall, Jonathan Paul, 2016. "Coal, nuclear and renewable energy policies in Germany: From the 1950s to the “Energiewende”," Energy Policy, Elsevier, vol. 99(C), pages 224-232.
  13. Vinnemeier, Philipp & Wirsum, Manfred & Malpiece, Damien & Bove, Roberto, 2016. "Integration of heat pumps into thermal plants for creation of large-scale electricity storage capacities," Applied Energy, Elsevier, vol. 184(C), pages 506-522.
  14. Charlotte Senkpiel & Wolfgang Hauser, 2020. "Systemic Evaluation of the Effects of Regional Self-Supply Targets on the German Electricity System Using Consistent Scenarios and System Optimization," Energies, MDPI, vol. 13(18), pages 1-26, September.
  15. Nikola Krečar & Andrej F. Gubina, 2020. "Risk mitigation in the electricity market driven by new renewable energy sources," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(1), January.
  16. Xie, Jia Yu & Suh, Dong Hee, 2021. "Examining the Determinants of Air Pollution: Implications of Economic Growth and Renewable Energy Consumption," 2021 Annual Meeting, August 1-3, Austin, Texas 313892, Agricultural and Applied Economics Association.
  17. Shirin Kahremany & Lukas Hofmann & Noy Eretz-Kdosha & Eldad Silberstein & Arie Gruzman & Guy Cohen, 2021. "SH-29 and SK-119 Attenuates Air-Pollution Induced Damage by Activating Nrf2 in HaCaT Cells," IJERPH, MDPI, vol. 18(23), pages 1-16, November.
  18. Leonard Goke & Jens Weibezahn & Christian von Hirschhausen, 2021. "A collective blueprint, not a crystal ball: How expectations and participation shape long-term energy scenarios," Papers 2112.04821, arXiv.org, revised Dec 2022.
  19. Liu, Tingting, 2025. "Data visualization-based paradigm trajectory exploration towards development and shifts for China’s wind power policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 217(C).
  20. Halabi, Laith M. & Mekhilef, Saad & Hossain, Monowar, 2018. "Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation," Applied Energy, Elsevier, vol. 213(C), pages 247-261.
  21. Shahbaz, Muhammad & Raghutla, Chandrashekar & Chittedi, Krishna Reddy & Jiao, Zhilun & Vo, Xuan Vinh, 2020. "The effect of renewable energy consumption on economic growth: Evidence from the renewable energy country attractive index," Energy, Elsevier, vol. 207(C).
  22. Barry W. Brook & Tom Blees & Tom M. L. Wigley & Sanghyun Hong, 2018. "Silver Buckshot or Bullet: Is a Future “Energy Mix” Necessary?," Sustainability, MDPI, vol. 10(2), pages 1-14, January.
  23. Frauke Wiese, 2016. "Resilience Thinking as an Interdisciplinary Guiding Principle for Energy System Transitions," Resources, MDPI, vol. 5(4), pages 1-17, September.
  24. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
  25. Bhattacharya, Mita & Paramati, Sudharshan Reddy & Ozturk, Ilhan & Bhattacharya, Sankar, 2016. "The effect of renewable energy consumption on economic growth: Evidence from top 38 countries," Applied Energy, Elsevier, vol. 162(C), pages 733-741.
  26. Carballo, Jose A. & Bonilla, Javier & Berenguel, Manuel & Fernández-Reche, Jesús & García, Ginés, 2019. "New approach for solar tracking systems based on computer vision, low cost hardware and deep learning," Renewable Energy, Elsevier, vol. 133(C), pages 1158-1166.
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