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Machine-learning-based reliability evaluation framework for power distribution networks
Machine-learning-based reliability evaluation framework for power distribution networks
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Machine-learning-based reliability evaluation framework for power distribution networks

Li, Gengfeng ; Huang, Yuxiong ; Bie, Zhaohong ; Ding, Tao

IET generation, transmission & distribution, 2020-06, Vol.14 (12), p.2282-2291 [Periódico revisado por pares]

The Institution of Engineering and Technology

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Impact-increment based decoupled reliability assessment approach for composite generation and transmission systems
Impact-increment based decoupled reliability assessment approach for composite generation and transmission systems
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Impact-increment based decoupled reliability assessment approach for composite generation and transmission systems

Hou, Kai ; Jia, Hongjie ; Li, Xue ; Xu, Xiandong ; Mu, Yunfei ; Jiang, Tao ; Yu, Xiaodan

IET generation, transmission & distribution, 2018-02, Vol.12 (3), p.586-595 [Periódico revisado por pares]

The Institution of Engineering and Technology

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Probabilistic indices for analysing the impact of penetration of distributed energy resources on system reliability
Probabilistic indices for analysing the impact of penetration of distributed energy resources on system reliability
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Probabilistic indices for analysing the impact of penetration of distributed energy resources on system reliability

Paliwal, Priyanka ; Patidar, Narayan Prasad ; Nema, Rajesh Kumar

IET renewable power generation, 2020-09, Vol.14 (12), p.2154-2165 [Periódico revisado por pares]

The Institution of Engineering and Technology

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4
Reliability enhancement of electrical power system including impacts of renewable energy sources: a comprehensive review
Reliability enhancement of electrical power system including impacts of renewable energy sources: a comprehensive review
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Reliability enhancement of electrical power system including impacts of renewable energy sources: a comprehensive review

Kumar, Sachin ; Saket, R.K ; Dheer, Dharmendra Kumar ; Holm-Nielsen, JensBo ; Sanjeevikumar, P

IET generation, transmission & distribution, 2020-05, Vol.14 (10), p.1799-1815 [Periódico revisado por pares]

The Institution of Engineering and Technology

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5
Enhanced probabilistic approach for substation reliability assessment
Enhanced probabilistic approach for substation reliability assessment
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Enhanced probabilistic approach for substation reliability assessment

Bagen, Bagen ; Huang, Dange ; Fattal, Karim

IET generation, transmission & distribution, 2019-06, Vol.13 (12), p.2488-2495 [Periódico revisado por pares]

The Institution of Engineering and Technology

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6
An efficient and robust structural reliability analysis method with mixed variables based on hybrid conjugate gradient direction
An efficient and robust structural reliability analysis method with mixed variables based on hybrid conjugate gradient direction
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An efficient and robust structural reliability analysis method with mixed variables based on hybrid conjugate gradient direction

Huang, Peng ; Huang, Hong‐Zhong ; Li, Yan‐Feng ; Qian, Hua‐Ming

International journal for numerical methods in engineering, 2021-04, Vol.122 (8), p.1990-2004 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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7
Structural reliability assessment of offshore wind turbine support structures subjected to pitting corrosion‐fatigue: A damage tolerance modelling approach
Structural reliability assessment of offshore wind turbine support structures subjected to pitting corrosion‐fatigue: A damage tolerance modelling approach
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Structural reliability assessment of offshore wind turbine support structures subjected to pitting corrosion‐fatigue: A damage tolerance modelling approach

Shittu, Abdulhakim Adeoye ; Mehmanparast, Ali ; Shafiee, Mahmood ; Kolios, Athanasios ; Hart, Phil ; Pilario, Karl

Wind energy (Chichester, England), 2020-11, Vol.23 (11), p.2004-2026 [Periódico revisado por pares]

Bognor Regis: John Wiley & Sons, Inc

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8
High dimensional reliability analysis based on combinations of adaptive Kriging and dimension reduction technique
High dimensional reliability analysis based on combinations of adaptive Kriging and dimension reduction technique
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High dimensional reliability analysis based on combinations of adaptive Kriging and dimension reduction technique

Ji, Yuxiang ; Xiao, Ning‐Cong ; Zhan, Hongyou

Quality and reliability engineering international, 2022-07, Vol.38 (5), p.2566-2585 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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9
Reliability of a two‐dimensional demand‐based networked system with multistate components
Reliability of a two‐dimensional demand‐based networked system with multistate components
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Reliability of a two‐dimensional demand‐based networked system with multistate components

Xiao, Hui ; Yi, Kunxiang ; Kou, Gang ; Xing, Liudong

Naval research logistics, 2020-09, Vol.67 (6), p.453-468 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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10
Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory
Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory
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Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory

Yu, Dongmin ; Ghadimi, Noradin

IET renewable power generation, 2019-10, Vol.13 (14), p.2587-2593 [Periódico revisado por pares]

The Institution of Engineering and Technology

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