Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Artificial intelligence in power systems"'
Autor:
OSEGI EMMANUEL NDIDI, WOKOMA BIOBELE ALEXANDER, OJUKA OTONYE, BRUCE-ALLISON SA, CHUJOR CORNELIUS CHICHI
Publikováno v:
Journal of Engineering Studies and Research, Vol 28, Iss 2 (2022)
In this paper, a voltage collapse optimization system based on comparative studies of swarm-intelligent techniques is proposed for voltage collapse mitigation in power system network. The approach draws inspiration from the idea of utilizing the inte
Externí odkaz:
https://doaj.org/article/55c642e65d9840ac9e36c740283ceced
Autor:
Dimas Augusto Mendes Lemes, Thales Wulfert Cabral, Gustavo Fraidenraich, Luis Geraldo Pedroso Meloni, Eduardo Rodrigues De Lima, Fernando Bauer Neto
Publikováno v:
IEEE Access, Vol 9, Pp 70746-70757 (2021)
This work investigates the efficiency of the process of load disaggregation, considering only the values of active power. To perform the task, we use data collected from the NILM (Non-Intrusive Load Monitoring) measurement method, presented in the Ra
Externí odkaz:
https://doaj.org/article/e6e89aa6f3fb43f79ff4546b33062e51
Autor:
Thales Wulfert Cabral, Dimas Augusto Mendes Lemes, Gustavo Fraidenraich, Fernando Bauer Neto, Eduardo Rodrigues de Lima, Luis Geraldo P. Meloni
Publikováno v:
IEEE Access, Vol 9, Pp 70746-70757 (2021)
This work investigates the efficiency of the process of load disaggregation, considering only the values of active power. To perform the task, we use data collected from the NILM (Non-Intrusive Load Monitoring) measurement method, presented in the Ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c58c47c889a5db5327d084b6dfa8b71
https://doi.org/10.1109/access.2021.3078340
https://doi.org/10.1109/access.2021.3078340
Akademický článek
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