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Ascertaining sustainability for affordable energy generation with non-renewable sources using computational
Adil O Khadidos1, Hariprasath Manoharan2, Alaa O Khadidos3,4
1Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Abstract:
In India an enhanced target that is related to affordable energy for increasing the sustainability among various classes of people must be achieved in subsequent years. As the growing population needs sustainable electricity in an affordable way it is essential to reduce the increasing demand and to increase possible generations in a regular way. Hence in the proposed method importance of non-renewable sources are analyzed by using computational intelligence algorithm where the likelihood of energy availability is observed. In order to discover sustainability clusters are considered in accordance with different regions thus providing connectivity at various points at reduced radiations. Therefore with alternate use of non-renewable sources it is possible to reduce the effect of fossil fuels and in the comparison state for such reductions are carried out with four scenarios. In the comparison it is observed that using computational intelligence technique it is possible to observe current demands and it can be reduced with possible generations for more than 80% thus achieving affordable energy at reduced cost.
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