Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Betsy Sandoval Guzmán"'
Publikováno v:
Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques ISBN: 9780323999045
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf5b5bfa3e755469fef3e01e0c2a0c14
https://doi.org/10.1016/b978-0-32-399904-5.00009-0
https://doi.org/10.1016/b978-0-32-399904-5.00009-0
Autor:
César Angeles-Camacho, Mario Roberto Arrieta-Paternina, Alexandre Balbinot, Emilio Barocio Espejo, Ernesto Beltran, Ramón J. Betancourt, Christoph Brosinsky, Daniele Carta, Gabriela Castillo-García, Oswaldo Isaac Cortes Robles, Jochen L. Cremer, José Antonio de la O Serna, Dunstano del Puerto Flores, José Guadalupe Fuentes-Velázquez, Luis Alonso Trujillo Guajardo, Daniel Guillen, Julio Cesar Hernández Ramírez, Mert Karaçelebi, Eleftherios O. Kontis, Petr Korba, Roberto Leborgne, Gabriel Mejía-Ruiz, Theofilos A. Papadopoulos, Grigoris K. Papagiannis, Paolo Attilio Pegoraro, Ana Karen Apolo Peñaloza, Juan M. Ramirez, Juan Segundo Ramírez, Juan Sebastián Rocha-Doria, Ramón Daniel Rodríguez-Soto, Fernando Salinas Salinas, Antonio Concha Sánchez, Betsy Sandoval Guzmán, Felix Rafael Segundo Sevilla, Antonio Vincenzo Solinas, Sara Sulis, Nitin Sundriyal, Mazheruddin H. Syed, Vicente Torres-García, Alejandro Zamora-Méndez
Publikováno v:
Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques ISBN: 9780323999045
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acd757a6c8c2d0c18e487580ed765261
https://doi.org/10.1016/b978-0-32-399904-5.00005-3
https://doi.org/10.1016/b978-0-32-399904-5.00005-3
Autor:
Betsy Sandoval Guzmán, Emilio Barocio, Petr Korba, Artjoms Obushevs, Felix Rafael Segundo Sevilla
Publikováno v:
Sustainable Energy, Grids and Networks. 32:100917
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6384d026106ed1846856d5ac60e33855
https://doi.org/10.1016/j.segan.2022.100917
https://doi.org/10.1016/j.segan.2022.100917
Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced machine learning techniques and their application in the control and monitoring of electrical power systems, particularly relevant f