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Volumn 36, Issue 7, 2011, Pages 3979-3984

Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network

Author keywords

Forecasting; Neural network; Oil price; Persian Gulf

Indexed keywords

COSTS; FORECASTING;

EID: 79959377599     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2011.05.004     Document Type: Article
Times cited : (76)

References (39)
  • 1
    • 48049095703 scopus 로고    scopus 로고
    • Forecasting crude oil price with an EMD based neural network ensemble learning paradigm
    • Yu L., Wang S., Lai K. Forecasting crude oil price with an EMD based neural network ensemble learning paradigm. Energy Economics 2008, 30:2623-2635.
    • (2008) Energy Economics , vol.30 , pp. 2623-2635
    • Yu, L.1    Wang, S.2    Lai, K.3
  • 2
    • 1842451502 scopus 로고    scopus 로고
    • On the predictive accuracy of crude oil future prices
    • Abosedra S., Baghestani H. On the predictive accuracy of crude oil future prices. Energy Policy 2004, 32:1389-1393.
    • (2004) Energy Policy , vol.32 , pp. 1389-1393
    • Abosedra, S.1    Baghestani, H.2
  • 3
    • 0029666954 scopus 로고    scopus 로고
    • Crude oil price volatility and unemployment in the United States Original
    • Noel D.U. Crude oil price volatility and unemployment in the United States Original. Energy 1996, 1:29-38.
    • (1996) Energy , vol.1 , pp. 29-38
    • Noel, D.U.1
  • 4
    • 33746937851 scopus 로고    scopus 로고
    • Exploiting the oil-GDP effect to support renewables deployment
    • Sauter R., Awerbuch S. Exploiting the oil-GDP effect to support renewables deployment. Energy Policy 2006, 34(17):2805-2819.
    • (2006) Energy Policy , vol.34 , Issue.17 , pp. 2805-2819
    • Sauter, R.1    Awerbuch, S.2
  • 5
    • 77956174145 scopus 로고    scopus 로고
    • What is behind the increase in oil prices? analyzing oil consumption and supply relationship with oil price
    • Gallo A., Mason P., Shapiro S., Fabritius M. What is behind the increase in oil prices? analyzing oil consumption and supply relationship with oil price. Energy 2010, 35(10):4126-4141.
    • (2010) Energy , vol.35 , Issue.10 , pp. 4126-4141
    • Gallo, A.1    Mason, P.2    Shapiro, S.3    Fabritius, M.4
  • 6
    • 77949262418 scopus 로고    scopus 로고
    • Evidence of causality between the quantity and quality of energy consumption and economic growth
    • Warr B.S., Ayres R.U. Evidence of causality between the quantity and quality of energy consumption and economic growth. Energy 2010, 35(4):1688-1693.
    • (2010) Energy , vol.35 , Issue.4 , pp. 1688-1693
    • Warr, B.S.1    Ayres, R.U.2
  • 7
    • 78649810961 scopus 로고    scopus 로고
    • 2 emissions, and fossil fuels consumption in Iran
    • 2 emissions, and fossil fuels consumption in Iran. Energy 2010, 35(12):5115-5120.
    • (2010) Energy , vol.35 , Issue.12 , pp. 5115-5120
    • Lotfalipour, M.R.1    Falahi, M.A.2    Ashena, M.3
  • 8
    • 0027009679 scopus 로고
    • Impact on world oil prices when larger and fewer producers emerge from a political restructuring of the Middle East
    • Wirl F. Impact on world oil prices when larger and fewer producers emerge from a political restructuring of the Middle East. Energy 1992, 17(4):367-375.
    • (1992) Energy , vol.17 , Issue.4 , pp. 367-375
    • Wirl, F.1
  • 10
    • 0019589721 scopus 로고    scopus 로고
    • The impact of price variation on the production of crude oil and natural gas
    • Noel D.U. The impact of price variation on the production of crude oil and natural gas. Energy 2000, 6(7):631-639.
    • (2000) Energy , vol.6 , Issue.7 , pp. 631-639
    • Noel, D.U.1
  • 11
    • 0020752420 scopus 로고
    • Oil prices and economic stability: the macro economic impact of oil price shocks on the Swedish economy
    • Yasnder B.C. Oil prices and economic stability: the macro economic impact of oil price shocks on the Swedish economy. Energy 1983, 8(5):389-397.
    • (1983) Energy , vol.8 , Issue.5 , pp. 389-397
    • Yasnder, B.C.1
  • 13
    • 0035339792 scopus 로고    scopus 로고
    • A semiparametric approach to short-term oil price forecasting
    • Morana C. A semiparametric approach to short-term oil price forecasting. Energy Economics 2001, 23:325-338.
    • (2001) Energy Economics , vol.23 , pp. 325-338
    • Morana, C.1
  • 14
    • 33748507564 scopus 로고    scopus 로고
    • A comparison of VAR and neural networks with genetic algorithm in forecasting price of oil
    • Mirmirani S., Li H.C. A comparison of VAR and neural networks with genetic algorithm in forecasting price of oil. Advances in Economometrics 2004, 19:203-223.
    • (2004) Advances in Economometrics , vol.19 , pp. 203-223
    • Mirmirani, S.1    Li, H.C.2
  • 15
    • 28444476220 scopus 로고    scopus 로고
    • Modeling and forecasting cointegrated relationships among heavy oil and product prices
    • Lanza A., Manera M., Giovannini M. Modeling and forecasting cointegrated relationships among heavy oil and product prices. Energy Economics 2005, 27:831-848.
    • (2005) Energy Economics , vol.27 , pp. 831-848
    • Lanza, A.1    Manera, M.2    Giovannini, M.3
  • 18
    • 33646575300 scopus 로고    scopus 로고
    • Modeling long-term oil price and extraction with a Hubert approach: LOPEX model
    • Rehrl T., Friedrich R. Modeling long-term oil price and extraction with a Hubert approach: LOPEX model. Energy Policy 2006, 34(15):2413-2428.
    • (2006) Energy Policy , vol.34 , Issue.15 , pp. 2413-2428
    • Rehrl, T.1    Friedrich, R.2
  • 19
    • 33947377862 scopus 로고    scopus 로고
    • Forecast of oil price and consumption in the short term under three scenarios: parabolic, linear and chaotic behavior
    • Gori F., Ludovisi D., Cerritelli P.F. Forecast of oil price and consumption in the short term under three scenarios: parabolic, linear and chaotic behavior. Energy 2007, 33(4):1291-1296.
    • (2007) Energy , vol.33 , Issue.4 , pp. 1291-1296
    • Gori, F.1    Ludovisi, D.2    Cerritelli, P.F.3
  • 23
    • 76649131245 scopus 로고    scopus 로고
    • Greek long-term energy consumption prediction using artificial neural networks
    • Ekonomou L. Greek long-term energy consumption prediction using artificial neural networks. Energy 2010, 35(2):512-517.
    • (2010) Energy , vol.35 , Issue.2 , pp. 512-517
    • Ekonomou, L.1
  • 24
    • 69349100782 scopus 로고    scopus 로고
    • Forecasting energy consumption in Taiwan using hybrid nonlinear models
    • Pao H.T. Forecasting energy consumption in Taiwan using hybrid nonlinear models. Energy 2009, 34(10):1438-1446.
    • (2009) Energy , vol.34 , Issue.10 , pp. 1438-1446
    • Pao, H.T.1
  • 25
    • 34250170125 scopus 로고    scopus 로고
    • Predicting electricity energy consumption: a comparison of regression analysis, decision tree and neural networks
    • Tso K., Yau K.W., Geoffrey K.F. Predicting electricity energy consumption: a comparison of regression analysis, decision tree and neural networks. Energy 2007, 32(9):1761-1768.
    • (2007) Energy , vol.32 , Issue.9 , pp. 1761-1768
    • Tso, K.1    Yau, K.W.2    Geoffrey, K.F.3
  • 26
    • 0033879856 scopus 로고    scopus 로고
    • Artificial neural networks for the prediction of the energy consumption of a passive solar building
    • Kalogirou S.A., Bojic M. Artificial neural networks for the prediction of the energy consumption of a passive solar building. Energy 2000, 25(5):479-491.
    • (2000) Energy , vol.25 , Issue.5 , pp. 479-491
    • Kalogirou, S.A.1    Bojic, M.2
  • 27
    • 78649852700 scopus 로고    scopus 로고
    • Modeling of solar radiation using remote sensing and artificial neural network in Turkey
    • Şenkal O. Modeling of solar radiation using remote sensing and artificial neural network in Turkey. Energy 2010, 35(12):795-4801.
    • (2010) Energy , vol.35 , Issue.12 , pp. 795-4801
    • Şenkal, O.1
  • 28
    • 77955281671 scopus 로고    scopus 로고
    • Radial basis function network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia
    • Benghanem M., Mellit A. Radial basis function network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia. Energy 2010, 35(9):3751-3762.
    • (2010) Energy , vol.35 , Issue.9 , pp. 3751-3762
    • Benghanem, M.1    Mellit, A.2
  • 29
    • 79551533305 scopus 로고    scopus 로고
    • Heat transfer using a correlation by neural network for natural convection from vertical helical coil in oil and glycerol/water solution
    • Colorado D., Ali M.A., García-Valladares O., Hernández J.A. Heat transfer using a correlation by neural network for natural convection from vertical helical coil in oil and glycerol/water solution. Energy 2011, 36(2):854-863.
    • (2011) Energy , vol.36 , Issue.2 , pp. 854-863
    • Colorado, D.1    Ali, M.A.2    García-Valladares, O.3    Hernández, J.A.4
  • 31
    • 0032675088 scopus 로고    scopus 로고
    • Applications of artificial neural networks in energy systems, a review
    • Kalogirou S.A. Applications of artificial neural networks in energy systems, a review. Energy Converse Management 1999, 40:1073-1087.
    • (1999) Energy Converse Management , vol.40 , pp. 1073-1087
    • Kalogirou, S.A.1
  • 32
    • 0034192268 scopus 로고    scopus 로고
    • Long-term performance prediction of forced circulation solar domestic water heating systems using artificial neural network
    • Kalogirou S.A. Long-term performance prediction of forced circulation solar domestic water heating systems using artificial neural network. Applied Energy 2000, 66:63-74.
    • (2000) Applied Energy , vol.66 , pp. 63-74
    • Kalogirou, S.A.1
  • 33
    • 0007836704 scopus 로고
    • Speaking fruit approach to the intelligent control of the storage system.
    • In: Proceedings of 12th CIGR World Congress on Agricultural Engineering;
    • De Baerdemaeker J, Hashimoto Y. Speaking fruit approach to the intelligent control of the storage system. In: Proceedings of 12th CIGR World Congress on Agricultural Engineering; 1994. p. 1493-1500.
    • (1994) , pp. 1493-1500
    • De Baerdemaeker, J.1    Hashimoto, Y.2
  • 34
    • 34347379500 scopus 로고    scopus 로고
    • Modeling and optimization: comparison of estimation capabilities of response surface methodology with artificial neural networks in a biochemical reaction
    • Bas D.H., Boyaci I Modeling and optimization: comparison of estimation capabilities of response surface methodology with artificial neural networks in a biochemical reaction. Journal of Food Engineering 2007, 78:846-854.
    • (2007) Journal of Food Engineering , vol.78 , pp. 846-854
    • Bas, D.H.1    Boyaci, I.2
  • 36
    • 85018000526 scopus 로고    scopus 로고
    • http://www.mitchellorg.com/html/Commodity_Trade/Oil_Specs_01.pdf.
  • 37
    • 85018029896 scopus 로고    scopus 로고
    • http://www.api.org.
  • 38
    • 85018014707 scopus 로고    scopus 로고
    • http://www.eia.doe.gov/dnav/pet/PET_PRI_WCO_K_W.html.
  • 39
    • 0034564603 scopus 로고    scopus 로고
    • Artificial neural: fundamentals, computing, design and application
    • Basheer J.A., Hajmeer M. Artificial neural: fundamentals, computing, design and application. Journal of Microbiological Methods 2000, 43:3-31.
    • (2000) Journal of Microbiological Methods , vol.43 , pp. 3-31
    • Basheer, J.A.1    Hajmeer, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.