Now showing items 419-438 of 1782

    • The data envelopment analysis to determine efficiency of Latin American countries for greenhouse gases control in electric power generation 

      Sánchez, Leadina; Vásquez, Carmen; Viloria Silva, Amelec Jesus (International Journal of Energy Economics and Policy, 2018)
      The objective of this research is to determine the efficiency of Latin American countries for the control of greenhouse gas (GHG) emissions due to the generation of electrical energy using the Data Envelopment Analysis. A ...
    • Data from a photovoltaic system using fuzzy logic and the P&O algorithm under sudden changes in solar irradiance and operating temperature 

      Robles Algarin, Carlos Arturo; Rodriguez Alvarez, Omar; Ospino Castro, Adalberto Jose (Data in Brief, 2018-11-05)
      This article presents the data of a PV system using fuzzy logic and the perturb and observe (P&O) algorithm, under sudden changes in the solar irradiance and the operating temperature of a PV module. The mathematical ...
    • Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms 

      Robles Algarín, Carlos; Restrepo-Leal, Diego; Ospino C., Adalberto (Corporación Universidad de la Costa, 2019)
      This paper presents the data of multimodal functions that emulate the performance of an array of five photovoltaic modules under partial shading conditions. These functions were obtained through mathematical modeling and ...
    • Data mining and association rules to determine twitter trends 

      Silva, Jesús; Vargas, Jesús; Natteri, Domingo; Flores Marín, Darío Enrique; Pineda, Omar; Ahumada, Bridy; Valero, Lesbia (Corporación Universidad de la Costa, 2020)
      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 ...
    • Data mining and neural networks to determine the financial market prediction 

      Silva, Jesus; García Guliany, Jesús; Hernandez, Lissette; Portillo, Rafael; Varela, Noel; Hernandez Palma, Hugo Gaspar; Redondo Bilbao, Osman; Valero, Lesbia (Universidad de la Costa, 2020-03-05)
      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 ...
    • Data mining and social network analysis on Twitter 

      Silva, Jesus; Varela, Noel; Ovallos-Gazabon, David; Hernandez Palma, Hugo Gaspar; Cazallo-Antunez, Ana; Redondo Bilbao, Osman; ORELLANO LLINAS, NATALY; Pineda Lezama, Omar Bonerge (Universidad de la Costa, 2020-03-05)
      The emergence of a networked social structure in the last decade of twentieth century is accelerated by the evolution of information technologies and, in particular, the Internet has given rise to the full emergence of ...
    • Data mining applied in school dropout prediction 

      amelec, viloria; García Guliany, Jesús; Niebles Núñez, William; Hernandez Palma, Hugo Gaspar; Niebles Nuñez, Leonardo David (Journal of Physics: Conference Series, 2020)
      In recent years, many studies have emerged about regarding the topic of school failure, showing a growing interest in determining the multiple factors that may influence it [1]. Most of the researches that attempt to solve ...
    • Data mining techniques and multivariate analysis to discover Patterns in university final researches 

      Amelec, Viloria; Rodríguez López, Jorge; García Leyva, Diana Margarita; Vargas Mercado, Carlos; Hernández-Palma, Hugo; Orellano Llinas, Nataly; Arrozola David, Mónica; Velasquez Rodriguez, Javier (Procedia Computer Science, 2019)
      The aim of this study is to extract knowledge from the final researches of the Mumbai University Science Faculty. Five classification models were applied: Vector Support Machines, Neural Networks, Decision Tree, Random ...
    • Data mining to identify risk factors associated with university students dropout 

      Viloria Silva, Amelec Jesus; Castro Sarmiento, Alex; María Santodomingo, Nicolás; María Santodomingo, Nicolas Elias; Márquez Blanco, Norka; Cadavid Basto, Wilmer; Hernández P, Hugo; Navarro Beltrán, Jorge; de la Hoz Hernández, Juan; Romero, Ligia (Communications in Computer and Information Science, 2019-07-26)
      . This paper presents the identification of university students dropout patterns by means of data mining techniques. The database consists of a series of questionnaires and interviews to students from several universities ...
    • Data on the diagnosis of the management of the primary waste from electrical and electronic equipment in health care institutions in Barranquilla, Colombia 

      Gandara-Perez, Helen Marcela; Lubo-Hoyos, Nelson Enrique; Castilla-Acevedo, Samir; Fuentes Gandara, Fabio Armando (Corporación Universidad de la Costa, 2020-08-27)
      Economic and technological development advances exponentially, and the implementation of new technologies in the health sector has become a source of waste for electrical and electronic equipment (WEEE). Electrical and ...
    • Data processing for direct marketing through Big Data 

      amelec, viloria; Varela, Noel; MALDONADO PEREZ, DOYREG; Pineda Lezama, Omar Bonerge (Universidad de la Costa, 2020-01-07)
      Traditional marketing performs promotion through various channels such as news in newspapers, radio, etc., but those promotions are aimed at all people, whether or not interested in the product or service being promoted. ...
    • Data sciences and teaching methods—learning 

      Silva, Jesus; Portillo, Rafael; Hernandez, Ana Emilia; Varela, Noel; Martinez Caraballo, Hugo; Hernández Palma, Hugo Gaspar; Redondo Bilbao, Osman; Leon Castro, Nadia (Universidad de la Costa, 2020-03-05)
      Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. This discipline is particularly complex in the face of Big Data: large volumes of data make it difficult to store, process ...
    • Data set on wind speed, wind direction and wind probability distributions in Puerto Bolivar - Colombia 

      Valencia Ochoa, Guillermo; Núñez Alvarez, José; Vanegas Chamorro, Marley (Corporación Universidad de la Costa, 2019)
      This paper presents wind speed and direction data measured with a weather station located in Puerto Bolivar, department of La Guajira, situated in the extreme north of Colombia, whose geographic coordinates are 12 110 N ...
    • Data supporting the assessment of biomass based electricity and reduced ghg emissions in Cuba 

      Sagastume Gutierrez, Alexis; Cabello Eras, Juan Jose; Vandecasteele A., Carlo H. (Data In Brief, 2018-02-25)
      Assessing the biomass based electricity potential of developing nations like Cuba can help to reduce the fossil fuels dependency and the greenhouse gas emissions. The data included in this study present the evolution ...
    • Data supporting the evaluation of the energy recovery potential of thermoelectric generators in diesel engines 

      Ramírez, Rafael; Sagastume, Alexis; Cabello Eras, Juan José; Hernandez, Brando; Duarte Forero, Jorge (Data in Brief, 2019-12-30)
      Power generation with thermoelectric devices in internal combustion engines is an alternative to recover some of the energy loss with the exhausts. This data article supports a study that assesses the potentialities of ...
    • Data supporting the forecast of electricity generation capacity from non-conventional renewable energy sources in Colombia 

      Sagastume, Alexis; BALBIS MOREJON, MILEN; Cabello Eras, Juan José; Cabello Ulloa, Mario Javier; Rey-Martínez, Francisco Javier; Rueda-Bayona, Juan Gabriel (Data in Brief, 2019-12-05)
      The data included in this study was calculated based on data provided by the national project registry provided by the Colombian government. The data forecasts the evolution of the power generation capacity registered in ...
    • Data supporting the improvement of forecasting and control of electricity consumption in hotels 

      Cabello Eras, Juan José; Sousa Santos, Vladimir; Sagastume, Alexis; Vandecasteele, Carlo (Data in brief, 2019-06-12)
      Improving and managing the electricity efficiency in hotel facilities is essential to reduce the hotel operation costs and its environmental impacts. The data presented shows the evolution of the electricity consumption ...
    • Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood 

      Cama-Pinto, Dora; Chavez Muñoz, Pastor David; Solano-Escorcia, Andres Felipe; Cama-Pinto, Alejandro (Corporación Universidad de la Costa, 2020)
      The data to construct the missing wind-speed value in the weather station record at “Collado de Yuste”, between the years 2002 to 2012, was calculated using wind speed data recorded in two other nearby weather stations, ...
    • Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. 

      Sousa Santos, Vladimir; Cabello Eras, Juan José; Sagastume, Alexis; Cabello Ulloa, Mario Javier (Data in Brief, 2020-03-23)
      The data presented in this article was used to assess and compare the most important methods used to estimate the efficiency during the operation of induction motors at different loads and power supply conditions. The ...
    • Database knowledge discovery In marketing companies 

      Amelec, Viloria; Li, Jin; Manosalva Sandoval, Jessica; Vargas Villa, Jesús (Universidad de la Costa, 2019)
      In recent years, technological development in both the computing and data transmission fields has allowed the storage and management of large volumes of data. Today, businesses move in highly competitive and continuous ...