Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rodrigo Porteiro"'
Publikováno v:
Tecnología en Marcha, Pp ág 182-192 (2021)
En el presente trabajo se propone el uso de redes neuronales artificiales para la resolución del problema de flujos de carga. El estudio del flujo de carga de la red eléctrica constituye una herramienta fundamental para la operación y la planifica
Externí odkaz:
https://doaj.org/article/60a06e4c6ba1403fae42738e79ca664b
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 102 (2020)
This article presents electricity demand forecasting models for industrial and residential facilities, developed using ensemble machine learning strategies. Short term electricity demand forecasting is beneficial for both consumers and suppliers, as
Externí odkaz:
https://doaj.org/article/112952a9d4564f34806792ec1997c5ef
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10048 (2021)
Demand-response techniques are crucial for providing a proper quality of service under the paradigm of smart electricity grids. However, control strategies may perturb and cause discomfort to clients. This article proposes a methodology for defining
Externí odkaz:
https://doaj.org/article/e584ea1d6286457481456994dca73349
Autor:
Rodrigo Porteiro, Sergio Nesmachnow
Publikováno v:
Smart Cities ISBN: 9783031284533
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa65593cde46d12914bf8d9ba56d484
https://doi.org/10.1007/978-3-031-28454-0_16
https://doi.org/10.1007/978-3-031-28454-0_16
Publikováno v:
Applied Sciences, Vol 11, Iss 10048, p 10048 (2021)
Applied Sciences
Volume 11
Issue 21
Applied Sciences
Volume 11
Issue 21
Demand-response techniques are crucial for providing a proper quality of service under the paradigm of smart electricity grids. However, control strategies may perturb and cause discomfort to clients. This article proposes a methodology for defining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd452d03349f3a9c30621bea5d3c9695
https://www.mdpi.com/2076-3417/11/21/10048
https://www.mdpi.com/2076-3417/11/21/10048
Publikováno v:
Smart Cities ISBN: 9783030691356
Energy demand management is an important technique for smart grids, under the paradigm of smart cities. Direct control of devices is useful for demand management, but it has the disadvantage of affecting user comfort. This article presents an approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95bce61e8e215823f2df9a119d3689fc
https://doi.org/10.1007/978-3-030-69136-3_6
https://doi.org/10.1007/978-3-030-69136-3_6
Autor:
Sergio Nesmachnow, Rodrigo Porteiro
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030680343
This article presents the application of parallel computing for building different computational intelligence models applied to the forecast of the hourly electricity demand of the following day. The short-term forecast of electricity demand is a cru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ed6794e1cc6b4bc265125105702b27d
https://doi.org/10.1007/978-3-030-68035-0_11
https://doi.org/10.1007/978-3-030-68035-0_11
Autor:
Sergio Nesmachnow, Rodrigo Porteiro
Publikováno v:
2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA).
This article presents different models applying computational intelligence to forecast the total hourly electricity demand of Uruguay for the next day. Short term electricity demand forecasting is crucial to optimize the economic dispatch of electric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9811fbbf010d67fd187bd16c63ad98f6
https://doi.org/10.1109/tdla47668.2020.9326206
https://doi.org/10.1109/tdla47668.2020.9326206
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Issue: 102, Pages: 25-9, Published: 07 OCT 2021
This article presents electricity demand forecasting models for industrial and residential facilities, developed using ensemble machine learning strategies. Short term electricity demand forecasting is beneficial for both consumers and suppliers, as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::229ddbe1553f274f0d86e34fda0e0d89
https://doi.org/10.17533/udea.redin.20200584
https://doi.org/10.17533/udea.redin.20200584
Autor:
Teresa Fernández, José L. Bravo, Manuel Feliciano, Álvaro Corredera, Marta Otero, Juan Antonio Rodríguez Rama, Javier Rey, Diego Sanchez, Wellington Maidana, Víctor Manuel Padrón Nápoles, Raúl Alberto López-Meraz, Silvina Hipogrosso, Luís Hernández-Callejo, Fernando Velez Varela, Irene Lebrusán, Lilian Obregón, Germán García García, Gustavo Navarro, Irene Huerta-Illera, Artur Gonçalves, Juan M. Mauricio Villanueva, Sergio Nesmachnow, Jorge Graneri, Ignacio Bengoechea, Ana García Laso, Aguilar-Jiménez, María José García Santacruz, Leonardo Campestrini Furst, Luis Omar Jamed-Boza, Oscar Izquierdo Monge, Douglas de F. Medeiros, Antonio Ferrer, Fabian Castillo Peña, Ponciano Jorge Escamilla-Ambrosio, Fernando De la Prieta, Eugenio Tamura, Sergio Lara, Jesús Samaniego, Diego Fernando Marin Lozano, Diego Gachet Páez, Marcia Eugenio-Gozalbo, Humberto Loaiza-Correa, Gabriela Moreira Ribeiro, Zita Vale, Víctor Alonso-Gómez, David Garca-Retuerta, Domingo A. Martín Sánchez, Manuel Salvador, Jorge Nájera, José Luis Esteban Penelas, Isabella Cristina Scotta, Jorge Mírez, Juan Quijano, Yuri P. Molina Rodriguez, Ana Ruiz-Varona, Eloy Velasco, Jorge Torres, José Hernández-García, Marcos Lafoz, Clara Godoy Morales, José Ignacio Morales-Aragonés, Javier Maroto Lorenzo, Gonzalo Real, Abdelkarim Bouras, L. G. Gonzalez, Elena Rico-Rodríguez, Edinson Franco-Mejía, Juan Espinoza, Fredy Vélez, Teodosio del-Caño-González, Alberto Castellanos, Luis Gerardo González Morales, Filipe C.M. de Freitas, Bhishma Hernández-Martínez, Juan Chavat, Manuel Andrés-Chicote, Javier Prieto, Mónica Alonso, Escamilla-Ambrosio, Sara Barja-Martinez, Luís Guilherme Aguiar Figueiredo, María Rey, Francisco Díaz-González, Vicente Leite, Benavides, Dominguez, Andres Felipe Fuentes, Claudio Risso, Luis Casas-Villarrea, Rodrigo Porteiro, Roberto Casado-Vara, Silvia Soutullo, Felipe Romero, Julio San José, Estefanía Alfaro-Mejía, Quijano, Marcos Blanco, Roberto Carazo, Andrea Gabaldón, Jurado, Jamal Toutouh, Luis A. Bujedo, Hugo Sánchez, Sofía Mulero, Miguel Dávila-Sacoto, Sara Gallardo-Saavedra, Paul Arévalo-Cordero, Alvaro Bartolom, Claudio Javier García-Ballano
During the day of October 7-8, the congress has invited experts from the sector of Smart Cities to organize a sectoral debate. This debate will be composed of prestigious companies in the sector, Public Administration, as well as specialized consulta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4967200d5422fc4cf6d1bf1b63203570
https://doi.org/10.35985/9789585583788
https://doi.org/10.35985/9789585583788