Artificial neural network analysis of world green energy use

This paper focuses on the analysis of world green energy consumption through artificial neural networks (ANN). In addition, the consumption is also analyzed of world primary energy including fossil fuels such as coal, oil and natural gas. A feed-forward back-propagation ANN is used for training and...

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Bibliographic Details
Published in:Energy policy 2007-03, Vol.35 (3), p.1731-1743
Main Authors: Ermis, K., Midilli, A., Dincer, I., Rosen, M.A.
Format: Article
Language:English
Subjects:
Alternative energy
Alternative energy sources
Applied sciences
Artificial neural networks
Economic data
Energy
Energy consumption
Energy economics
Energy sources
Energy use
Energy utilization
Environment
Exact sciences and technology
Forecasting
Fossil fuels
General, economic and professional studies
Green energy
Mathematical models
Methodology. Modelling
Natural energy
Network analysis
Neural networks
Studies
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Summary:This paper focuses on the analysis of world green energy consumption through artificial neural networks (ANN). In addition, the consumption is also analyzed of world primary energy including fossil fuels such as coal, oil and natural gas. A feed-forward back-propagation ANN is used for training and learning processes by taking into consideration data from the literature of world energy consumption from 1965 to 2004. Also, an ANN approach for forecasting world green energy consumption to the year 2050 is presented, and the consumption equations for different energy sources are derived. The environmental aspects of green energy and fossil fuels are discussed in detail. The resulting ANN-based equation curve profiles verify that the available economic reserves of fossil fuel resources are limited, and become “depleted” in the near future. It is expected that world green energy consumption will reach almost 62.74 EJ by 2010, and be on average 32.29% of total energy use between 2005 and 2025. However, world green energy and natural gas consumption will continue increasing after 2050, while world oil and coal consumption are expected to remain relatively stable after 2025 and 2045, respectively. The ANN approach appears to be a suitable method for forecasting energy consumption data, should be utilized in efforts to model world energy consumption.
ISSN:0301-4215
1873-6777
DOI:10.1016/j.enpol.2006.04.015