Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA–ANN model

By T. Koutroumanidis, K. Ioannou, G. Arabatzis. 2009

128 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/f45483149432c3223c3f1d1f93baa09772cf1258

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Hamid Moeeni
2. Hossein Bonakdari

In Environmental Engineering

1. Hamid Moeeni
2. Hossein Bonakdari

In Mechanics of Materials

1. Hamid Moeeni
2. Hossein Bonakdari

Citations in the corpus

• Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model (2017, methodology): “Various hybrid models have been used by other researchers in different cases (Koutroumanidis et al. 2009; Faruk 2010; Aladag et al. 2012; Martins and Werner 2012; Jeong et al. 2014; Ruiz-Aquilar et al. 2015).”