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Spatial and temporal analysis of electric wind generation intermittency and dynamics

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Cited by:

  1. Yue, Xiaoyu & Liao, Siyang & Xu, Jian & Ke, Deping & Wang, Huiji & Yang, Jiaquan & He, Xuehao, 2024. "Collaborative optimization of renewable energy power systems integrating electrolytic aluminum load regulation and thermal power deep peak shaving," Applied Energy, Elsevier, vol. 373(C).
  2. Coker, Phil & Barlow, Janet & Cockerill, Tim & Shipworth, David, 2013. "Measuring significant variability characteristics: An assessment of three UK renewables," Renewable Energy, Elsevier, vol. 53(C), pages 111-120.
  3. Tadeusz Mączka & Halina Pawlak-Kruczek & Lukasz Niedzwiecki & Edward Ziaja & Artur Chorążyczewski, 2020. "Plasma Assisted Combustion as a Cost-Effective Way for Balancing of Intermittent Sources: Techno-Economic Assessment for 200 MW el Power Unit," Energies, MDPI, vol. 13(19), pages 1-16, September.
  4. Zhao, Yongning & Ye, Lin & Li, Zhi & Song, Xuri & Lang, Yansheng & Su, Jian, 2016. "A novel bidirectional mechanism based on time series model for wind power forecasting," Applied Energy, Elsevier, vol. 177(C), pages 793-803.
  5. Álvarez-García, Francisco J. & Fresno-Schmolk, Gonzalo & OrtizBevia, María J. & Cabos, William & RuizdeElvira, Antonio, 2020. "Reduction of aggregate wind power variability using Empirical Orthogonal Teleconnections: An application in the Iberian Peninsula," Renewable Energy, Elsevier, vol. 159(C), pages 151-161.
  6. Alexis Tantet & Marc Stéfanon & Philippe Drobinski & Jordi Badosa & Silvia Concettini & Anna Cretì & Claudia D’Ambrosio & Dimitri Thomopulos & Peter Tankov, 2019. "e 4 clim 1.0: The Energy for a Climate Integrated Model: Description and Application to Italy," Energies, MDPI, vol. 12(22), pages 1-37, November.
  7. Ye, Lin & Zhao, Yongning & Zeng, Cheng & Zhang, Cihang, 2017. "Short-term wind power prediction based on spatial model," Renewable Energy, Elsevier, vol. 101(C), pages 1067-1074.
  8. Schmidt, Johannes & Cancella, Rafael & Junior, Amaro Olímpio Pereira, 2016. "The effect of windpower on long-term variability of combined hydro-wind resources: The case of Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 131-141.
  9. Harrison-Atlas, Dylan & Murphy, Caitlin & Schleifer, Anna & Grue, Nicholas, 2022. "Temporal complementarity and value of wind-PV hybrid systems across the United States," Renewable Energy, Elsevier, vol. 201(P1), pages 111-123.
  10. Ren, Guorui & Wan, Jie & Liu, Jinfu & Yu, Daren & Söder, Lennart, 2018. "Analysis of wind power intermittency based on historical wind power data," Energy, Elsevier, vol. 150(C), pages 482-492.
  11. Han, Shuang & Zhang, Lu-na & Liu, Yong-qian & Zhang, Hao & Yan, Jie & Li, Li & Lei, Xiao-hui & Wang, Xu, 2019. "Quantitative evaluation method for the complementarity of wind–solar–hydro power and optimization of wind–solar ratio," Applied Energy, Elsevier, vol. 236(C), pages 973-984.
  12. Eichman, Joshua D. & Mueller, Fabian & Tarroja, Brian & Schell, Lori Smith & Samuelsen, Scott, 2013. "Exploration of the integration of renewable resources into California's electric system using the Holistic Grid Resource Integration and Deployment (HiGRID) tool," Energy, Elsevier, vol. 50(C), pages 353-363.
  13. He, Y.X. & Xia, T. & Liu, Z.Y. & Zhang, T. & Dong, Z., 2013. "Evaluation of the capability of accepting large-scale wind power in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 509-516.
  14. Ikegami, Takashi & Urabe, Chiyori T. & Saitou, Tetsuo & Ogimoto, Kazuhiko, 2018. "Numerical definitions of wind power output fluctuations for power system operations," Renewable Energy, Elsevier, vol. 115(C), pages 6-15.
  15. Johannes Schmidt & Rafael Cancella & Amaro Olímpio Pereira Junior, 2014. "Combing windpower and hydropower to decrease seasonal and inter-annual availability of renewable energy sources in Brazil," Working Papers 562014, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
  16. Yan, Jie & Liu, Yongqian & Han, Shuang & Qiu, Meng, 2013. "Wind power grouping forecasts and its uncertainty analysis using optimized relevance vector machine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 613-621.
  17. repec:zbw:inwedp:562014 is not listed on IDEAS
  18. Yuan, Qiheng & Zhou, Keliang & Yao, Jing, 2020. "A new measure of wind power variability with implications for the optimal sizing of standalone wind power systems," Renewable Energy, Elsevier, vol. 150(C), pages 538-549.
  19. François, B. & Borga, M. & Creutin, J.D. & Hingray, B. & Raynaud, D. & Sauterleute, J.F., 2016. "Complementarity between solar and hydro power: Sensitivity study to climate characteristics in Northern-Italy," Renewable Energy, Elsevier, vol. 86(C), pages 543-553.
  20. Doepfert, Markus & Castro, Rui, 2021. "Techno-economic optimization of a 100% renewable energy system in 2050 for countries with high shares of hydropower: The case of Portugal," Renewable Energy, Elsevier, vol. 165(P1), pages 491-503.
  21. Yongqian Liu & Yanhui Qiao & Shuang Han & Yanping Xu & Tianxiang Geng & Tiandong Ma, 2021. "Quantitative Evaluation Methods of Cluster Wind Power Output Volatility and Source-Load Timing Matching in Regional Power Grid," Energies, MDPI, vol. 14(16), pages 1-14, August.
  22. Daniel Suchet & Adrien Jeantet & Thomas Elghozi & Zacharie Jehl, 2020. "Defining and Quantifying Intermittency in the Power Sector," Energies, MDPI, vol. 13(13), pages 1-12, July.
  23. Tarroja, Brian & Mueller, Fabian & Eichman, Joshua D. & Samuelsen, Scott, 2012. "Metrics for evaluating the impacts of intermittent renewable generation on utility load-balancing," Energy, Elsevier, vol. 42(1), pages 546-562.
  24. Baltas, A.E. & Dervos, A.N., 2012. "Special framework for the spatial planning & the sustainable development of renewable energy sources," Renewable Energy, Elsevier, vol. 48(C), pages 358-363.
  25. Schmidt, Johannes & Cancella, Rafael & Junior, Amaro Olímpio Pereira, 2014. "Combing windpower and hydropower to decrease seasonal and inter-annual availability of renewable energy sources in Brazil," Discussion Papers DP-56-2014, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
  26. Ren, Guorui & Liu, Jinfu & Wan, Jie & Guo, Yufeng & Yu, Daren, 2017. "Overview of wind power intermittency: Impacts, measurements, and mitigation solutions," Applied Energy, Elsevier, vol. 204(C), pages 47-65.
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