Browsing by Author "Bamiduro, Olaoluwa"

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    On the Bio-inspired Computational framework for exploring the production and management of sustainable energy
    (Eighth IEEE International Conference on Innovative Computing Technology, 2018) Oluwagbemi, Olugbenga; Oluwagbemi, Folakemi; Bamiduro, Olaoluwa; Afolabi, Olaitan
    In 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.