FORECASTING OF PETROLEUM-BASED ENERGY CONSUMPTION IN IRAN USING ARTIFICIAL NEURAL NETWORK (ANN)

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BABAZADEH REZA

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Seminar Paper

Paper Information

Seminar: NATIONAL CONFERENCE ON QUANTITATIVE MODELS TECHNIQUES IN MANAGEMENT‏
Year:2016 | Issue:1

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Title

FORECASTING OF PETROLEUM-BASED ENERGY CONSUMPTION IN IRAN USING ARTIFICIAL NEURAL NETWORK (ANN)

Author(s)

BABAZADEH REZA

Keywords

PETROLEUM-BASED RESOURCES

STRATEGIC DECISION MAKING

ARTIFICIAL NEURAL NETWORK

PREDICTION AND FORECASTING

Abstract

PETROLEUM-BASED RESOURCES PROVIDE DIFFERENT PRODUCTS INCLUDING TRANSPORTATION FUELS, FUEL OILS FOR HEATING AND ELECTRICITY GENERATION, ASPHALT AND ROAD OIL, AND THE FEEDSTOCKS USED TO MAKE CHEMICALS, PLASTICS, AND SYNTHETIC MATERIALS FOUND IN NEARLY EVERYTHING WE USE TODAY. OPTIMAL PREDICTION AND FORECASTING OF PETROLEUM-BASED RESOURCE CONSUMPTION WOULD HELP ENERGY POLICY MAKERS AND PRACTITIONERS TO TAKE APPROPRIATE STRATEGIC DECISIONS IN THIS SECTOR. IN THIS PAPER, AN ARTIFICIAL NEURAL NETWORK (ANN) APPROACH IS PROPOSED TO OPTIMUM FORECASTING OF PETROLEUM-BASED ENERGY CONSUMPTION IN IRAN. OIL AND NATURAL GAS TOGETHER MAKE PETROLEUM. THE MOST IMPORTANT AND EFFECTIVE ENVIRONMENTAL AND ECONOMIC FACTORS IN PETROLEUM RESOURCE CONSUMPTION ARE CONSIDERED IN THE APPLIED ANN. THE ANN TRAINS AND TESTS DATA WITH MULTI-LAYER PERCEPTRON (MLP) APPROACH WHICH HAS THE LOWEST MEAN ABSOLUTE PERCENTAGE ERROR (MAPE). THE OBTAINED RESULTS JUSTIFY THE EFFICIENCY OF THE PROPOSED APPROACH IN PREDICTION OF PETROLEUM-BASED ENERGY CONSUMPTION.

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APA: Copy

BABAZADEH, REZA. (2016). FORECASTING OF PETROLEUM-BASED ENERGY CONSUMPTION IN IRAN USING ARTIFICIAL NEURAL NETWORK (ANN). NATIONAL CONFERENCE ON QUANTITATIVE MODELS TECHNIQUES IN MANAGEMENT‏. SID. https://sid.ir/paper/936624/en

Vancouver: Copy

BABAZADEH REZA. FORECASTING OF PETROLEUM-BASED ENERGY CONSUMPTION IN IRAN USING ARTIFICIAL NEURAL NETWORK (ANN). 2016. Available from: https://sid.ir/paper/936624/en

IEEE: Copy

REZA BABAZADEH, “FORECASTING OF PETROLEUM-BASED ENERGY CONSUMPTION IN IRAN USING ARTIFICIAL NEURAL NETWORK (ANN),” presented at the NATIONAL CONFERENCE ON QUANTITATIVE MODELS TECHNIQUES IN MANAGEMENT‏. 2016, [Online]. Available: https://sid.ir/paper/936624/en

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