Wind generation impact on electricity generation adequacy and nuclear safety
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DOI: 10.1016/j.ress.2016.10.003
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Cited by:
- Hariri, Ali-Mohammad & Hashemi-Dezaki, Hamed & A. Hejazi, Maryam, 2020. "A novel generalized analytical reliability assessment method of smart grids including renewable and non-renewable distributed generations and plug-in hybrid electric vehicles," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
- Aizpurua, J.I. & Stewart, B.G. & McArthur, S.D.J. & Penalba, M. & Barrenetxea, M. & Muxika, E. & Ringwood, J.V., 2022. "Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
- Chen, Yahong & Deng, Changhong & Yao, Weiwei & Liang, Ning & Xia, Pei & Cao, Peng & Dong, Yiwang & Zhang, Yuan-ao & Liu, Zhichao & Li, Dinglin & Chen, Man & Peng, Peng, 2019. "Impacts of stochastic forecast errors of renewable energy generation and load demands on microgrid operation," Renewable Energy, Elsevier, vol. 133(C), pages 442-461.
- Eryilmaz, Serkan & Navarro, Jorge, 2022. "A decision theoretic framework for reliability-based optimal wind turbine selection," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
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Keywords
Wind generation; Loss of load probability; Monte Carlo; Nuclear safety;All these keywords.
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