Výsledky vyhledávání - "Valero, Lesbia"

Predicting short-term electricity demand through artificial neural networks

Autor: Viloria, Amelec, García Guliany, Jesús, Varela, Noel, Pineda Lezama, Omar Bonerge, Hernández Palma, Hugo, Valero, Lesbia, Marín-González, Freddy

Publikováno v: Lecture Notes in Electrical Engineering
Vol. 637 (2020)

Forecasting the consumption of electric power on a daily basis allows considerable money savings for the supplying companies, by reducing the expenses in generation and operation. Therefore, the cost of forecasting errors can be of such magnitude tha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4242::b44253e5ca45a32fb007b9808bbce722
https://hdl.handle.net/20.500.12442/5105

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Data mining and association rules to determine twitter trends

Autor: Silva, Jesús, Vargas, Jesús, Natteri, Domingo, Flores Marín, Darío Enrique, Pineda, Omar, Ahumada, Bridy, Valero, Lesbia

Publikováno v: Smart Innovation, Systems and Technologies
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa

Opinion mining has been widely studied in the last decade due to its great interest in the field of research and countless real-world applications. This research proposes a system that combines association rules, generalization of rules, and sentimen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::8db68060eac051abd6b2669f749428db
https://repositorio.cuc.edu.co/

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Data mining and neural networks to determine the financial market prediction

Autor: Silva, Jesus, García Guliany, Jesús, Hernandez, Lissette, Portillo, Rafael, Varela, Noel, Hernández Palma, Hugo, Redondo Bilbao, Osman, Valero, Lesbia

Publikováno v: Lecture Notes in Electrical Engineering
Vol. 637 (2020)

Predicting stock market movements has been a complex task for years by gaining the increasing interest of researchers and investors present all around the world. These have tried to get ahead of the way in order to know the levels of return and thus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4242::ba71b4d41fe6f5291ef0e117ede4f6d3
https://hdl.handle.net/20.500.12442/5093

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Predicting short-term electricity demand through artificial neural network

Autor: Viloria, Amelec, García Guliany, Jesús, Varela Izquierdo, Noel, Pineda, Omar, Hernández Palma, Hugo, Valero, Lesbia, Marín-González, Freddy

Publikováno v: Lecture Notes in Electrical Engineering
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::6d492b01a865f377567025c15b9c5894
https://repositorio.cuc.edu.co/

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