Neural network-based approach for ATC estimation using distributed computing

IEEE Transactions on Power Systems

Volumn 25, Issue 3, 2010, Pages 1291-1300

  Pandey, Seema N ^a   Pandey, Nirved K ^b   Tapaswi, Shashikala ^c   Srivastava, Laxmi ^d  

^a INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT   (India)

^b IPS CTM Gwalior   (India)

^c ABV INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT   (India)

^d MADHAV INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

Author keywords

Available transfer capability (ATC); continuation power flow (CPF); distributed computing; Levenberg Marquardt algorithm; message passing interface (MPI); principal component analysis (PCA)

Indexed keywords

AVAILABLE TRANSFER CAPABILITY; CONTINUATION POWER FLOW; DISTRIBUTED COMPUTING; LEVENBERG-MARQUARDT ALGORITHM; MESSAGE PASSING INTERFACE;

ALGORITHMS; ELECTRIC LOAD FLOW; FEATURE EXTRACTION; MESSAGE PASSING; NEURAL NETWORKS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77954834378     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2010.2042978     Document Type: Article

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