Power Allocation in an Educational Institute in India: A Fuzzy-GMDH Approach

The ever-increasing population and their energy demand have raised the stress on conventional energy sources manifold. As the quantity of power supply is receding, the supplied energy consumption is required to be optimized for maximum utilization. The distribution of available energy must be so that the need of the consumer can be satisfied. But if the resources cannot be accessed in an adequate quantity to satisfy consumers’ demand, customers have to be preferred based on their socio-economic impact. Various sections of consumers have to be provided with convenient weightage based on their importance. Cognitive optimization of the allotment may be carried out so that even in the days of exiguity, the socio-economic influence for not fulfilling the consumers’ needs can be curtailed. In this aspect, the present investigation used the advantage of Fuzzy Logic to accredit weightage to in-house customers of an educational campus and then tried for optimal allocation by applying the competence of non-linearity mapping of Neuro-Genetic algorithms. The output from the algorithm was compared with similar work from Particle Swarm Optimization and Differential Evolution Algorithms. The study results provided an option for optimal exertion of available energy based on consumers’ socio-economic importance.