On the Bio-inspired Computational framework for exploring the production and management of sustainable energy

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dc.contributor.authorOluwagbemi, Olugbenga
dc.contributor.authorOluwagbemi, Folakemi
dc.contributor.authorBamiduro, Olaoluwa
dc.contributor.authorAfolabi, Olaitan
dc.date.accessioned2021-06-23T09:45:27Z
dc.date.available2021-06-23T09:45:27Z
dc.date.issued2018
dc.descriptionStaff Publicationen_US
dc.description.abstractIn this paper, we proposed and designed a bio-inspired integrated cost-effective computational framework for generating and managing sustainable energy from biologically-related sources. The objective is to maximize the utilization of natural and biological sources of energy, for energy production among developing countries. First, we studied previously known sources of clean and sustainable energy. Second, we conducted a comparative study among these previously known energy sources. We conclude that these previously known energy sources are expensive and have the tendency to exhibit unimpressive performances in their distribution and management. In order to guarantee excellent performance and at a relatively cheaper rate, we proposed and designed a bio-inspired computational framework of integrated energy sources and bio-solar cells, to provide energy for local communities in developing countries. Third, we simulated an intelligent energy distribution management system for a typical residential unit within the proposed prototype of the bio-inspired computational framework. We provided justification that our framework has better potentials in terms of management, than existing energy sources.en_US
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/1163
dc.language.isoenen_US
dc.publisherEighth IEEE International Conference on Innovative Computing Technologyen_US
dc.subjectBiocomputing,en_US
dc.subjectcomputational framework,en_US
dc.subjectenergy,en_US
dc.subjectelectricity,en_US
dc.subjectbio-solar cells,en_US
dc.subjectdeveloping countriesen_US
dc.titleOn the Bio-inspired Computational framework for exploring the production and management of sustainable energyen_US
dc.typeArticleen_US
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