Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jose R. Cedeno Gonzalez"'
Autor:
Juan J. Flores, Jose L. Garcia-Nava, Jose R. Cedeno Gonzalez, Victor M. Tellez, Felix Calderon, Arturo Medrano
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8423 (2022)
Electric power distribution networks face increasing factors for power-quality (PQ) deterioration, such as distributed, renewable-energy generation units and countless high-end electronic devices loaded as controllers or in standalone mode. Consequen
Externí odkaz:
https://doaj.org/article/fd8c0c48351146d693f313f8ff00946c
Autor:
Héctor Rodríguez, Antony Morales, Felix Calderon, Roberto Tapia, Jose R. Cedeno Gonzalez, Juan J. Flores, Baldwin Cortes
Publikováno v:
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Experience shows that solar resource prediction is a difficult task. The available solar irradiance where a photovoltaic plant is located or is planned to be installed depends mainly on the cloud incidence at the site. This incidence of clouds depend
Publikováno v:
Energies, Vol 13, Iss 5309, p 5309 (2020)
Energies; Volume 13; Issue 20; Pages: 5309
Energies; Volume 13; Issue 20; Pages: 5309
Load forecasting provides essential information for engineers and operators of an electric system. Using the forecast information, an electric utility company’s engineers make informed decisions in critical scenarios. The deregulation of energy ind
Publikováno v:
International Journal of Sustainability in Higher Education, vol.20, núm.2, p.393-407
Articles publicats (D-ATC)
DUGiDocs – Universitat de Girona
instname
Articles publicats (D-ATC)
DUGiDocs – Universitat de Girona
instname
Purpose This paper aims to report on a case study concerning the development of sustainable energy partnerships involving engineering faculty and undergraduate students at the University of Girona, Catalonia, Spain. Design/methodology/approach Facult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c27cac2a83456316266275f24b6bf930
https://hdl.handle.net/2072/373468
https://hdl.handle.net/2072/373468
Publikováno v:
Soft Computing. 23:1039-1048
This article proposes a nearest neighbors—differential evolution (NNDE) short-term forecasting technique. The values for the parameters time delay $$\tau $$ , embedding dimension m, and neighborhood size $$\epsilon $$ , for nearest neighbors foreca
Autor:
Toni Pujol, E. Massaguer, M. Comamala, Lino Montoro, Jose R. Cedeno Gonzalez, Samir Ezzitouni, A. Massaguer, Ivan Ruiz Cózar
Publikováno v:
Energies, Vol 14, Iss 2232, p 2232 (2021)
Energies, 2021, vol. 14, núm. 8, p. 2232
Articles publicats (D-EMCI)
Ruiz Cozar, Ivan Pujol i Sagaró, Toni Massaguer Colomer, Eduard Massaguer Colomer, Albert Montoro Moreno, Lino González Castro, Josep R. Comamala Laguna, Martí Ezzitouni, Samir 2021 Effects of Module Spatial Distribution on the Energy Efficiency and Electrical Output of Automotive Thermoelectric Generators Energies 14 8 2232
DUGiDocs – Universitat de Girona
instname
Energies; Volume 14; Issue 8; Pages: 2232
Energies, 2021, vol. 14, núm. 8, p. 2232
Articles publicats (D-EMCI)
Ruiz Cozar, Ivan Pujol i Sagaró, Toni Massaguer Colomer, Eduard Massaguer Colomer, Albert Montoro Moreno, Lino González Castro, Josep R. Comamala Laguna, Martí Ezzitouni, Samir 2021 Effects of Module Spatial Distribution on the Energy Efficiency and Electrical Output of Automotive Thermoelectric Generators Energies 14 8 2232
DUGiDocs – Universitat de Girona
instname
Energies; Volume 14; Issue 8; Pages: 2232
Automotive thermoelectric generators (ATEGs) are devices used to harvest waste energy from the exhaust gases of internal combustion engines. An ATEG is essentially formed by three main elements: (1) heat absorber in contact with exhaust gases; (2) th
Autor:
Jose R. Cedeno Gonzalez, Rodrigo Lopez-Farias, Felix Calderon, Héctor Rodríguez, Juan J. Flores, Mario Graff
Publikováno v:
Energies
Volume 12
Issue 18
Energies, Vol 12, Iss 18, p 3545 (2019)
Volume 12
Issue 18
Energies, Vol 12, Iss 18, p 3545 (2019)
This article presents a comparison of wind speed forecasting techniques, starting with the Auto-regressive Integrated Moving Average, followed by Artificial Intelligence-based techniques. The objective of this article is to compare these methods and
Publikováno v:
2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Noise is ubiquitous in the production of time series; we cannot assume that our source data is clean, data is always (most of the time) contaminated with noise. Noise may come from different sources: measuring devices, transmission means, etc. This a
Publikováno v:
2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
This work approaches the text document classification problem derived from the contest “Identify Keywords and Tags from Millions of Text Questions”, published on the website Kaggle. Using data from the StackOverflow website, the problem is to pre
Publikováno v:
2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
The kNN time series forecasting method is based on a very simple idea: similar states, observed in the past, most likely have produced similar output values. One has to look for nearest neighbors, according to some distance measure. The first idea th