EMPLOYING DEEP LEARNING NEURAL NETWORKS IN MATHEMATICAL BASIS OF DIGITAL TWINS OF ELECTRICAL POWER SYSTEMS

Systems and Means of Informatics ◽

10.14357/08696527210111 ◽

2021 ◽

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Power Systems ◽

Electrical Power ◽

Electrical Power Systems ◽

Mathematical Basis ◽

Digital Twins

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Fault diagnosis in electrical power systems using artificial neural networks

PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376) ◽

10.1109/ptc.1999.826561 ◽

2003 ◽

Cited By ~ 1

Author(s):

M.A.P. Rodrigues ◽

J.C.S. Souza ◽

M.T. Schilling ◽

M.B. Do Coutto Filho

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Power Systems ◽

Electrical Power ◽

Electrical Power Systems ◽

Artificial Neural

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Fault Diagnosis of Electrical Power Systems with Hybrid Quantum-Classical Deep Learning

31st European Symposium on Computer Aided Process Engineering - Computer Aided Chemical Engineering ◽

10.1016/b978-0-323-88506-5.50181-9 ◽

2021 ◽

pp. 1173-1179

Author(s):

Akshay Ajagekar ◽

Fengqi You

Keyword(s):

Deep Learning ◽

Fault Diagnosis ◽

Power Systems ◽

Electrical Power ◽

Electrical Power Systems

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Deep learning methods and applications for electrical power systems: A comprehensive review

International Journal of Energy Research ◽

10.1002/er.5331 ◽

2020 ◽

Vol 44 (9) ◽

pp. 7136-7157 ◽

Cited By ~ 4

Author(s):

Asiye K. Ozcanli ◽

Fatma Yaprakdal ◽

Mustafa Baysal

Keyword(s):

Deep Learning ◽

Power Systems ◽

Electrical Power ◽

Electrical Power Systems ◽

Learning Methods ◽

Comprehensive Review

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Deep learning and big data applications in electrical power systems

10.1049/pbpo161e_ch9 ◽

2021 ◽

pp. 191-227

Keyword(s):

Big Data ◽

Deep Learning ◽

Power Systems ◽

Electrical Power ◽

Electrical Power Systems ◽

Big Data Applications

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Neural Networks to Transient Stability Analysis of Electrical Power Systems

10.21528/cbrn2001-006 ◽

2016 ◽

Author(s):

Carlos R. Minussi ◽

Lilian Milena Ramos ◽

Sandra Cristina Marchiori ◽

Mara L�cia Martins Lopes ◽

Anna Diva P. Lotufo

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Power Systems ◽

Transient Stability ◽

Electrical Power ◽

Electrical Power Systems ◽

Transient Stability Analysis

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Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems

Applied Energy ◽

10.1016/j.apenergy.2021.117628 ◽

2021 ◽

Vol 303 ◽

pp. 117628

Author(s):

Akshay Ajagekar ◽

Fengqi You

Keyword(s):

Quantum Computing ◽

Deep Learning ◽

Fault Diagnosis ◽

Power Systems ◽

Electrical Power ◽

Electrical Power Systems

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Artificial neural networks in the voltage control of electrical power systems

2008 11th International Conference on Optimization of Electrical and Electronic Equipment ◽

10.1109/optim.2008.4602357 ◽

2008 ◽

Author(s):

R.L. Teixeira ◽

M.M.B.R. Vellasco

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Systems ◽

Electrical Power ◽

Voltage Control ◽

Electrical Power Systems ◽

Artificial Neural

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Multiple Fault Diagnosis in Electrical Power Systems with Probabilistic Neural Networks

2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI) ◽

10.1109/micai.2007.31 ◽

2010 ◽

Author(s):

Juan Pablo Nieto Gonzalez ◽

Luis E. Garza Castanon ◽

Ruben Morales Menendez

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Power Systems ◽

Electrical Power ◽

Probabilistic Neural Networks ◽

Electrical Power Systems ◽

Multiple Fault ◽

Multiple Fault Diagnosis

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Real-time data reassurance in electrical power systems based on artificial neural networks

Electric Power Systems Research ◽

10.1016/j.epsr.2012.11.015 ◽

2013 ◽

Vol 96 ◽

pp. 285-295 ◽

Cited By ~ 24

Author(s):

Seyedamirabbas Mousavian ◽

Jorge Valenzuela ◽

Jianhui Wang

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Systems ◽

Real Time ◽

Electrical Power ◽

Time Data ◽

Electrical Power Systems ◽

Real Time Data ◽

Artificial Neural

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Performance Comparison for Feed Forward, Elman, and Radial Basis Neural Networks Applied to Line Congestion Study of Electrical Power Systems

Advances in Intelligent Systems and Computing - Artificial Intelligence and Evolutionary Computations in Engineering Systems ◽

10.1007/978-81-322-2656-7_112 ◽

2016 ◽

pp. 1227-1237 ◽

Cited By ~ 1

Author(s):

Pradyumna K. Sahoo ◽

Ramaprasad Panda ◽

Prasanta K. Satpathy ◽

Mihir N. Mohanty

Keyword(s):

Neural Networks ◽

Power Systems ◽

Electrical Power ◽

Performance Comparison ◽

Electrical Power Systems ◽

Feed Forward ◽

Radial Basis Neural Networks ◽

Radial Basis

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