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Forecast of operational data in electric energy plants using adaptive algorithm
(Corporación Universidad de la Costa, 2020)
Traditional time series methods offer models whose parameters remain constant over time. However, industrial supply and demand processes require timely decisions based on a dynamic reality. A change in configuration, turning ...
Newtonian Heating Effects of Oldroyd-B Liquid Flow with Cross-Diffusion and Second Order Slip
(Corporación Universidad de la Costa, 2020-07-13)
The current study highlights the Newtonian heating and second-order slip velocity with cross-diffusion effects on Oldroyd-B liquid flow. The modified Fourier heat flux is included in the energy equation system. The present ...
Predicting short-term electricity demand through artificial neural network
(Corporación Universidad de la Costa, 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 ...
Prediction of psychosocial risks in teachers using data mining
(Corporación Universidad de la Costa, 2020)
Integrated management systems aim to improve these everyday situations that are inherent to work and cause for concern. In search for continuous improvement, it is necessary to innovate with techniques in areas that are ...
Studies on strength characteristics of black cotton soil by using novel SiO2 combination as a stabilizing agent
(Corporación Universidad de la Costa, 2020)
The rapid growth in industrialization and population leads to generation of large quantity of wastes, some materials were containing high silica contents is damped as a waste. In this study such damped silica wastes from ...
Forecast of the demand for hourly electric energy by artificial neural networks
(Corporación Universidad de la Costa, 2020)
Obtaining an accurate forecast of the energy demand is fundamental to support the several decision processes of the electricity service agents in a country. For market operators, a greater precision in the short-term load ...
Prediction of electric consumption using multiple linear regression methods
(Corporación Universidad de la Costa, 2020)
In the new global and local scenario, the advent of intelligent distribution networks, or Smart Grids, allows the collection of data about the operational state of the electric network in real time. Based on this data ...
Heat and mass transmission of an Oldroyd-B nanofluid flow through a stratified medium with swimming of motile gyrotactic microorganisms and nanoparticles
(Corporación Universidad de la Costa, 2020)
This paper focuses on the research of motile microorganism rates in the bioconvective Oldroyd-B nanoliquid flow over a vertical stretching sheet with mixed convection and inclined magnetic field. Additionally, interesting ...
Genetic system for project support with the sequencing problem
(Corporación Universidad de la Costa, 2021)
One of the main problems faced by manufacturing companies in the production sequencing, also called scheduling, which consists of identifying the best way to order the production program on the machines for improving ...
Influence of Ag+ and Mn2+ ions on structural, optical and photoluminescence features of ZnS quantum dots
(Corporación Universidad de la Costa, 2020)
The current study deals with the structural, morphological, elemental, optical and photoluminescence behaviors of Ag+, Mn2+ dual doped ZnS quantum dots (QDs). The X-ray diffraction (XRD) and Transmission Electron Microscope ...