The maximum power demand forecasting with fuzzy theory

The study aims at seeking the interrelationship and origin of the basic electricity, mobile electricity, power adjustment charges, additional super-charges, and line subsidy payments of the high-pressure two-stage electricity users (Far East University), according to the average of monthly temperature and tariff structure calendar year. Using fuzzy theory to analyze and simulate the peak electricity quantity of kilowatt of entire year, then using genetic algorithm to this system for making the best learning. Assist users to find the optimal contracted capacity with this way to achieve the goal of saving electricity cost.