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A comprehensive solution for electrical energy demand prediction based on auto-regressive models
(Springer Nature, 2020)
Energy consumption and demand are two widely used terms necessary to understand the functioning of the different mechanisms used in electrical energy transactions. In this article, the design and construction of a comprehensive ...
Prediction of imports of household appliances in Ecuador using LSTM networks
(Springer Nature Switzerland AG 2020, 2020)
Time series forecasting is an important topic widely addressed with traditional statistical models such as regression, and moving average. This work uses the state-of-the-art Long Short-Term Memory (LSTM) Networks to predict ...
The influence of ARIMA-GARCH parameters in feed forward neural networks prediction
(SPRINGER, 2011)
The objective of this article is to find out the influence of the parameters of the ARIMA-GARCH models in the prediction of artificial neural networks (ANN) of the feed forward type, trained with the Levenberg-Marquardt ...
Pronóstico de la inflación colombiana: una aproximación desde un modelo Arima desagregado y Machine Learning
(Universidad de los AndesIngeniería IndustrialFacultad de IngenieríaDepartamento de Ingeniería Industrial, 2019)
Este artículo realiza dos cosas. Primero, realiza un modelo Arima para cada una de las 12 divisiones de gasto que conforma el IPC base 2018, para así, ponderar el pronóstico un paso hacia delante de la inflación mensual. ...
Capacidad predictiva del modelo ARIMA-ANN en las acciones financieras colombianas
(Universidad de los AndesEconomíaFacultad de Economía, 2020)
La integración de los modelos de Machine Learning en la econometría clásica se ha venido desarrollando a un ritmo desacelerado. En particular, modelos híbridos (ARIMA-ANN) no han sido implementados en el sector financiero ...
Earthquake Magnitude and Frequency Forecasting in Northeastern Algeria using Time Series Analysis
This study uses two different time series forecasting approaches (parametric and non-parametric) to assess a frequency and magnitude forecasting of earthquakes above Mw 4.0 in Northeastern Algeria. The Autoregressive ...
Análise de desempenho de indicadores de volatilidade
(Universidade Federal de Juiz de ForaBrasilFaculdade de EconomiaPrograma de Pós-graduação em EconomiaUFJF, 2016)
Forecast of sea surface temperature off the Peruvian coast using an autoregressive integrated moving average modelPrevisión de la temperatura superfi cial del mar frente a la costa peruana mediante un modelo autorregresivo integrado de media móvil
(Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Biológicas, 2007)
Estimation of COVID-19 prevalence in Italy, Spain, and France
At the end of December 2019, coronavirus disease 2019 (COVID-19) appeared in Wuhan city, China. As of April
15, 2020, N1.9 million COVID-19 cases were confirmed worldwide, including N120,000 deaths. There is an urgent
need ...