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A time-series forecasting performance comparison for neural networks with state space and ARIMA models
(IEOM Society InternationalUnited States, 2020)
Predicting short-term electricity demand through artificial neural network
(Corporación Universidad de la Costa, 2021)
Prediction of electric consumption using multiple linear regression methods
(Corporación Universidad de la Costa, 2021)
The behavior of the annual electricity demand and the role of economic growth in Colombia
(Corporación Universidad de la Costa, 2022)
A Strategic Empty Container Logistics Optimization in a Major Shipping Company
(2012-02)
In this paper, we present a system that Compañía Sud Americana de Vapores (CSAV), one of the world’s
largest shipping companies, developed to support its decisions for repositioning and stocking empty containers.
CSAV’s ...
Digital transformation of planning in the pharmaceutical sector
(2022)
Purpose: To adjust the inventory supply planning, through digital transformation that allows automation and tracking of demand behavior in real time and with low cost tool.
Methodology: The collected database is loaded ...
Máquinas de soporte vectorial y redes neuronales artificiales en la predicción del movimiento USD/COP spot intradiario
(Facultad de Finanzas, Gobierno y Relaciones Internacionales, 2015-07-01)
La predicción del movimiento de los tipos de cambio en los mercados de divisas es un objetivo desafiante para el cálculo de pronósticos en el análisis de series de tiempo. Dada la complejidad que se presenta en la dinámica ...
Efficiency of mining algorithms in academic indicators
(Journal of Physics: Conference Series, 2020)