Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Santi Behera"'
Publikováno v:
Contemporary Oncology, Vol 28, Iss 1, Pp 37-44 (2024)
Externí odkaz:
https://doaj.org/article/7ec33e7eee574b5cb269d42e42ad871f
Publikováno v:
Contemporary Oncology, Vol 26, Iss 4, Pp 268-274 (2023)
Externí odkaz:
https://doaj.org/article/c2f1865a92194f2598a27d261b9a2a18
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 3, Iss 1, Pp 141-150 (2016)
This work proposes a unique approach for improving voltage stability limit using a Probabilistic Neural Network (PNN) classifier that gives corrective controls available in the system in the scenario of contingencies. The sensitivity of system is ana
Externí odkaz:
https://doaj.org/article/c106c959785c4493a0bf6145a8a2b9a3
Publikováno v:
Współczesna Onkologia. 26:268-274
Autor:
Santi Behera, Kishor Sasmal, Sasmita Behera, Nimay Chandra Giri, Olena Rubanenko, Mohit Bajaj
Publikováno v:
2022 IEEE 8th International Conference on Energy Smart Systems (ESS).
Power systems are operating under stressed condition due to continuous increase in demand of load. This can lead to voltage instability problem when face additional load increase or contingency. In order to avoid voltage instability suitable size of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::836b392fa92a152055d7d998b2b647f7
Publikováno v:
2012 International Conference on Communication Systems and Network Technologies.
Energy efficiency is one of the most critical research issues in the area of wireless sensor networks. This is due to severe resource limitations of sensor nodes, one of the approaches for prolonging the sensor network operable lifetime is to deploy