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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 20 | Page No.: 5791-5798
DOI: 10.3923/itj.2013.5791.5798
Forecasting Production of Clean Energy using Cognitive Mapping and Artificial Neural Networks
Wang Miao and Peiyu Ren

Abstract: Clean Energy has become the focus of interest for the manufacturing industries with the evolution of technologies to allow co-production. Researches give evidences for multiple enablers of producing this never-ending resource in addition to the geographical conditions. The aim of this study is to develop an Artificial Neural Network forecasting model for the production of clean energy based on the factors determined by causal maps. The framework is initially tested in geographical, economical and technological conditions of China. Since the holonomy of national, regional and individual company requirements are considered in the study, the model achievements are adoptable for any size of clean energy production needs.

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How to cite this article
Wang Miao and Peiyu Ren, 2013. Forecasting Production of Clean Energy using Cognitive Mapping and Artificial Neural Networks. Information Technology Journal, 12: 5791-5798.

Keywords: Clean energy, forecasting, cognitive mapping and artificial neural networks

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