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The utilization of diesel generators to provide power to the load demand on remote rural areas in Tanzania has extensively spread which results in a shortage of energy facilities. With increments in oil cost and the stresses over an unnatural weather change, the hybridization of the accessible sustainable assets with diesel generator has become a powerful answer for increment framework reliability for supplying the load demand. This work proposes an Adaptive Genetic Algorithm (AGA) based new methodology for the ideal structure of hybrid energy framework involving sunlight based PV, diesel generator, and battery associated frameworks for providing the electrical energy in remote rural areas. The proposed framework utilizes the meteorological information of sun-powered illuminations and temperature gathered from the meteorological site of Tanzania and real-time data from HOMER programming created by …