Analysis of Tanzanian biomass consumption using artificial neural network

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dc.contributor.authorTesha, Thomas
dc.contributor.authorKichonge, Baraka
dc.date.accessioned2023-10-12T12:21:15Z
dc.date.available2023-10-12T12:21:15Z
dc.date.issued2015
dc.descriptionFull text article. Also available at https://tinyurl.com/2m2237cten_US
dc.description.abstractThe growing biomass consumption in developing countries context is being driven by a mixture of concerns over energy security, sustainable development and the climate change mitigation. The development of the comprehensive, sustainable and efficient biomass energy sector policies, strategies and investments requires proper biomass utilization and planning which in fact has not yet received the attention it deserves in the developing countries policies. This paper aims are twofold; one being to demonstrate the practicability of the application of artificial neural network multilayer perceptron (ANN-MLP) in the analysis of the biomass energy consumption and two, to identify the demographic and economic indicators which works better in the analysis and prediction of biomass consumption in Tanzania. Three models made up of Tanzania rural, Tanzania urban and Tanzania population with the addition of economic indicators were formulated for the analysis. The ANN-MLP has shown promising results with the statistical correlation coefficient of 0.9972 indicating that it can be used for practical analysis and prediction of biomass energy consumption. Furthermore the results show the use of Tanzania population model in the analysis and prediction of biomass consumption gives better results in comparison to the Tanzania rural and Tanzania urban population models individually.en_US
dc.identifier.citationTesha, T., & Kichonge, B. (2015). Analysis of Tanzanian biomass consumption using artificial neural network. Journal of Fundamentals of Renewable Energy and Applications, 5, 1-7.en_US
dc.identifier.otherDOI: 10.4172/2090-4541.1000169
dc.identifier.urihttp://hdl.handle.net/20.500.12661/4134
dc.language.isoenen_US
dc.publisherLongdom Publishing SLen_US
dc.subjectEnergy policyen_US
dc.subjectEnergy planningen_US
dc.subjectBiomass consumptionen_US
dc.subjectBiomass assumptionen_US
dc.subjectEnergy consumptionen_US
dc.subjectTanzania biomass utilizationen_US
dc.subjectArtificial neural network multilayer perceptronen_US
dc.subjectANN-MLPen_US
dc.titleAnalysis of Tanzanian biomass consumption using artificial neural networken_US
dc.typeArticleen_US
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