Currently many countries facing the one decisive problem, forces companies to look for appropriate approaches to optimize energy utilization and demand administration in increasing demand of electrical energy and the expenses which it imposes on the organization. Accordingly all the organizations are intended to start the centralized air conditioner method for maximum consumption for buildings like organizations, companies and colleges etc. All the electronic companies are invented to occurrence of both operations at a time in development of science technology. For detecting the environment temperature; as the scientists are formerly installed temperature sensor, this method is called automatic control. Existing techniques are given that the room required (cool and heat) temperature with only obtainable sources on particular environment, hence in our technique we use value engineering technique for the procedure of successful development. To offer increasing profitability all along with getting better product presentation and performing works in shorter durations is our final goal. Several environment sources are used, like natural water, natural gas and sea water for both operations. For generating data set and Genetic algorithm for optimization, I propose to use the Artificial Neural Network. At this point I expect to discover wherever possibility of available source is far above at that time that bulk of source is used for separate plan operation.

Value engineering Artificial Neural Network Scheme specification room temperature load Scheme selection Genetic Algorithm