FORECASTING OIL PRICES THROUGH USE OF WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS

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BEHRAD MEHR N.

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Journal: ENERGY ECONOMICS REVIEW Year:2008 | Volume:5 | Issue:18 Page(s): 81-98

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Information Journal Paper

Title

FORECASTING OIL PRICES THROUGH USE OF WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS

Author(s)

BEHRAD MEHR N. | Issue Writer Certificate

Keywords

CRUDE OIL PRICE PREDICTIONQ2

NEURAL NETWORKSQ2

NOISEQ2

SMOOTHINGQ3

WAVELET TRANSFORMQ2

Abstract

In this paper, the WAVELET TRANSFORM and NEURAL NETWORKS are used to produce more reliable forecasts of crude oil prices. In this combined model, we use the WAVELET TRANSFORM to minimize the NOISE present in the data and then apply artificial NEURAL NETWORKS to the smoothed data to forecast oil prices. Comparing the RMSEs of alternative models with the combined model confirms that reducing the NOISE and SMOOTHING the data produces more reliable predictions of crude oil prices.

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APA: Copy

BEHRAD MEHR, N.. (2008). FORECASTING OIL PRICES THROUGH USE OF WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS. ENERGY ECONOMICS REVIEW, 5(18), 81-98. SID. https://sid.ir/paper/99622/en

Vancouver: Copy

BEHRAD MEHR N.. FORECASTING OIL PRICES THROUGH USE OF WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS. ENERGY ECONOMICS REVIEW[Internet]. 2008;5(18):81-98. Available from: https://sid.ir/paper/99622/en

IEEE: Copy

N. BEHRAD MEHR, “FORECASTING OIL PRICES THROUGH USE OF WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS,” ENERGY ECONOMICS REVIEW, vol. 5, no. 18, pp. 81–98, 2008, [Online]. Available: https://sid.ir/paper/99622/en

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