Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA-ANN model
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Church, Keith B. & Curram, Stephen P., 1996. "Forecasting consumers' expenditure: A comparison between econometric and neural network models," International Journal of Forecasting, Elsevier, vol. 12(2), pages 255-267, June.
- Sedjo, Roger A., 1997. "The economics of forest-based biomass supply," Energy Policy, Elsevier, vol. 25(6), pages 559-566, May.
- Katinas, Vladislovas & Markevicius, Antanas, 2006. "Promotional policy and perspectives of usage renewable energy in Lithuania," Energy Policy, Elsevier, vol. 34(7), pages 771-780, May.
- Radetzki, Marian, 1997. "The economics of biomass in industrialized countries: an overview," Energy Policy, Elsevier, vol. 25(6), pages 545-554, May.
- Pohekar, S.D. & Kumar, Dinesh & Ramachandran, M., 2005. "Dissemination of cooking energy alternatives in India--a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(4), pages 379-393, August.
- Midilli, Adnan & Dincer, Ibrahim & Ay, Murat, 2006. "Green energy strategies for sustainable development," Energy Policy, Elsevier, vol. 34(18), pages 3623-3633, December.
- Ermis, K. & Midilli, A. & Dincer, I. & Rosen, M.A., 2007. "Artificial neural network analysis of world green energy use," Energy Policy, Elsevier, vol. 35(3), pages 1731-1743, March.
- Prybutok, Victor R. & Yi, Junsub & Mitchell, David, 2000. "Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations," European Journal of Operational Research, Elsevier, vol. 122(1), pages 31-40, April.
- Jehlickova, Bohumira & Morris, Richard, 2007. "Effectiveness of policy instruments for supporting the use of waste wood as a renewable energy resource in the Czech Republic," Energy Policy, Elsevier, vol. 35(1), pages 577-585, January.
- Arabatzis, Garyfallos, 2008. "The individual and social characteristics of poplar investors-cultivators and the factors that affect the size of poplar plantations according to the EU Regulation 2080/92," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 9(2), June.
- Malik, Farooq & Nasereddin, Mahdi, 2006. "Forecasting output using oil prices: A cascaded artificial neural network approach," Journal of Economics and Business, Elsevier, vol. 58(2), pages 168-180.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Zafeiriou, Eleni & Arabatzis, Garyfallos & Koutroumanidis, Theodoros, 2011. "The fuelwood market in Greece: An empirical approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3008-3018, August.
- Zhu, Bangzhu & Wei, Yiming, 2013. "Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology," Omega, Elsevier, vol. 41(3), pages 517-524.
- Azam, Muhammad & Khan, Abdul Qayyum & Bakhtyar, B. & Emirullah, Chandra, 2015. "The causal relationship between energy consumption and economic growth in the ASEAN-5 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 732-745.
- Arabatzis, Garyfallos & Malesios, Chrisovalantis, 2013. "Pro-environmental attitudes of users and non-users of fuelwood in a rural area of Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 621-630.
- Mostafa, Mohamed M. & El-Masry, Ahmed A., 2016. "Oil price forecasting using gene expression programming and artificial neural networks," Economic Modelling, Elsevier, vol. 54(C), pages 40-53.
- Jeong, Kwangbok & Koo, Choongwan & Hong, Taehoon, 2014. "An estimation model for determining the annual energy cost budget in educational facilities using SARIMA (seasonal autoregressive integrated moving average) and ANN (artificial neural network)," Energy, Elsevier, vol. 71(C), pages 71-79.
- Azam, Muhammad & Khan, Abdul Qayyum & Zafeiriou, Eleni & Arabatzis, Garyfallos, 2016. "Socio-economic determinants of energy consumption: An empirical survey for Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1556-1567.
- Azam, Muhammad & Khan, Abdul Qayyum & Zaman, Khalid & Ahmad, Mehboob, 2015. "Factors determining energy consumption: Evidence from Indonesia, Malaysia and Thailand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1123-1131.
- repec:eee:rensus:v:77:y:2017:i:c:p:297-317 is not listed on IDEAS
- Arabatzis, Garyfallos & Petridis, Konstantinos & Galatsidas, Spyros & Ioannou, Konstantinos, 2013. "A demand scenario based fuelwood supply chain: A conceptual model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 687-697.
- Arabatzis, Garyfallos & Kitikidou, Kyriaki & Tampakis, Stilianos & Soutsas, Konstantinos, 2012. "The fuelwood consumption in a rural area of Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6489-6496.
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:37:y:2009:i:9:p:3627-3634. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/enpol .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.