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a |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240321102123.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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240321b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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AIKTC-KRRC |
| Transcribing agency |
AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
23085 |
| Author |
Tiwary, Shubhranshu Kumar |
| 245 ## - TITLE STATEMENT |
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| Title |
Multiple-classification of power system states using multidimensional neural network |
| 250 ## - EDITION STATEMENT |
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| Volume, Issue number |
Vol.104(4), Aug |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
USA |
| Name of publisher, distributor, etc. |
Springer |
| Year |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Pagination |
893-900p. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
For the optimum operation and control of power networks, its operation is usually divided in to several states. Depending upon the severity of any contingency and its effect on the power network operations, a set of prompt corrective actions are predetermined to help in keeping the operational parameters of the grid in check. In this work, a multidimensional artificial neural network is exploited for multi-class classification of power network states based on the Fink and Carlsen’s approach. The parameters monitored here are active power, reactive power, voltage magnitude and bus voltage angles. A set of multiple layered neural networks were developed and utilized to monitor the state transition of these parameters from one state to the other. The time-consumption and advantages are then discussed. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
4642 |
| Topical term or geographic name entry element |
Humanities and Applied Sciences |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
23086 |
| Co-Author |
Pal, Jagadish |
| 773 0# - HOST ITEM ENTRY |
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| International Standard Serial Number |
2250-2106 |
| Title |
Journal of the institution of engineers (India): Series B |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| URL |
https://link.springer.com/article/10.1007/s40031-023-00892-1 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Koha item type |
Articles Abstract Database |
